Catella Market Indicator - Konii

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Catella Market Indicator - Konii
Catella Market Indicator
OFFICE | EUROPE
SPRING 2017
Catella Market Indicator - Konii
Contents

        MARKET OUTLOOK
         3    Foreword
         4    Growth in Europe –
              value for investors
         6    Invitation for investors –
              diversification & stability
        12    The rise of the European markets –
              deals & pricing
        14     European office market map
               overview 2017

        REGIONAL MARKETS
        16    Baltics
        17    Belgium
        18    Denmark
        19    Finland
        20    France
        21    Germany
        22    Luxembourg
        23    Netherlands
        24    Norway
        25    Poland
        27    Spain
        28    Sweden
        30    United Kingdom

        OTHER
        31    Contacts research

                Definitions and Sources
                Prime yields                                                   Prime rent
                The yield for a property of the highest quality specification   Prime rent represents the top open-market rent that
                in a prime location within the area. The property should       can be achieved for a notional office unit (sq m.) per month.
                be 100% let at the market rent at the time, to blue-chip       The unit itself has to feature highest quality and is to be
                tenants, with leasing term typical for prime property within   situated in the best location of the local market.
                that market. The yield should reflect net income received       Sources
                by an investor, expressed as a percentage of total capital     The main sources are Catella local branches and the
                value.                                                         inhouse research team. Additional sources are indicated
                Stock                                                          where used.
                Total volume of existing office floorspace in net sq m. of a
                defined location/area. Office floorspace includes completed,
                let and vacant office buildings/spaces.

2   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Catella Market Indicator - Konii
Europe – a powerful invest-
ment spectrum
DEAR READERS,
Europe and its real estate markets are       In the new-build segment, and even             It is due to this extremely positive situ-
changing – not just due to the effects of    more so in the refurbishment segment,          ation in Europe’s real estate markets
the Brexit decision, but also, and indeed    the market situation is changing in many       that office real estate remains the top
primarily, because of the exceptionally      countries: Co-working models, evolving         preference for investors. Depending on
positive prospects for the coming years:     office work practices, digitalisation and      the level of risk appetite, the investment
In terms of economic policy and perfor-      pay-per-use concepts are likely to prompt      range in 2017 stretches from London’s
mance, the future currently looks bright     faster rather than slower changes in what      West End to – at least in theory –
for European companies – from the            is required of office concepts in the com-     Moscow.
manufacturing industry to the services       ing years. The new requirements are still           We hope you enjoy reading this issue!
sector.                                      sporadic, but current observations pro-
     However, this melange should also       vide a good indication of how the future
be looked at in more detail: On the one      will be. While there may be significant        Thomas Beyerle
hand, there have been positive rental        changes in office concepts, this will have     Head of Group Research
trends, an overall increase in the rental    no effect on the importance of location
volume and a large number of transac-        as a factor for office real estate. In this
tions in recent months in the office         regard, a sustainable location primarily
segment. These trends are also partly due    means CBD areas and – as can be seen
to a situation which we have rarely seen     throughout Europe – areas close to
to such an extent before. Hardly any new     transport facilities such as train stations,
projects have been initiated. As is widely   urban rail interchanges and airports.
known, supply shortages and rising               It nearly seems as if the capital mar-
demand lead to price increases. The          ket is already anticipating these trends.
number of exclusive office developments      The majority of major European project
is low throughout Europe. However,           developments are almost entirely for
high rents in existing properties caused     mixed use. Office space, but only in com-
by supply shortages in the local market      bination with retail and/or residential use.
are rarely economically sustainable.             Our analysis of 32 office locations
Although the office segment will conse-      in Europe identified these trends in the              Catella – Providing
quently continue to be regarded as the       clear majority of cases. So, if we can
                                                                                                   high-end market analysis
number one investment vehicle in inves-      ascertain rising rents in 19 out of 32
tors’ portfolios, the yield compression in   locations – in other words, 19 locations              Catella is a leading specialist in property
existing space and the increasing supply     where yields are declining – the markets              advisory services, property investments,
shortages are prompting investors to                                                               fund management and banking, with
                                             are in a very strong position purely from
                                                                                                   operations in 12 European countries.
turn their attention to project develop-     a market perspective. Vacancy rates are
                                                                                                   The group has sales of approximately
ments. Throughout Europe, the demand         continuing to fall, and rents are increas-
                                                                                                   SEK 2 billion and manages assets of
is there; however, lenders and investors     ing across the board.
                                                                                                   approximately SEK 150 billion. Catella is
are hesitant about getting involved in           In terms of the transaction volume,
                                                                                                   listed on Nasdaq Stockholm in the Mid
office developments, with their cyclical     we have just seen an historic develop-
                                                                                                   Cap segment.
reputation, in what appears to be a very     ment: For the first time, Germany has
                                                                                                        Catella provides high-end market
positive market environment.                 knocked the UK off its traditional top                analysis products and services for the
                                             spot, with France following in third                  property market. We use our perspec-
                                             place. The Nordics are also performing                tives from the financial markets and
                                             extraordinarily well at present, in par-              experience from investment banking to
                                             ticular Sweden and Finland. In southern               create truly forward-looking research.
                                             Europe, Spain recently recorded its best              Read more at catella.com
                                             ever quarter.

                                                                                            CATELL A MARKET INDICATOR | EUROPE | SPRING 2017     3
Catella Market Indicator - Konii
Growth in Europe –
        value for investors
        Europe – macroeconomic condi-                                                            Norway and Italy have registered growth                                       Europe’s population is on a similar tra-
        tions for real estate investment                                                         of under 1%, the economies of Spain and                                       jectory: in the immediate term, migra-
        With phrases such as “Brexit”, Italian                                                   Ireland are currently recovering strongly.                                    tion will provide a temporary boost,
        banking crisis or “Greece’s debt dilemma”                                                Along with Sweden and Luxembourg,                                             but in the long run, Europe is ageing.
        on everyone’s lips, it is safe to say that                                               the rate of growth in those two countries                                     Against this backdrop, it is necessary to
        the conditions for investing in European                                                 is currently above 3%. Above-average                                          take a close look at the continent’s differ-
        markets have been better. But when read-                                                 growth is also evident in the Nether-                                         ent regions, as the current urbanisation
        ing the headlines, the important things                                                  lands, Germany, the UK, Poland, the                                           trend is not a uniform development
        are often lost. Nevertheless, Europe’s                                                   Czech Republic and Hungary.                                                   everywhere.
        economy is growing, and continuously                                                         Unemployment in Europe has been                                                The ECB continues to keep the
        at that. Average predicted growth in                                                     falling constantly since 2013, and accord-                                    main refinancing rate at zero, and it
        GDP for the coming five years is forecast                                                ing to estimates, it will reach a rate of                                     has resorted to some unconventional
        at 1.5%, with 1.8% growth expected for                                                   almost 8.1% in 2022. The figure for the                                       monetary policy instruments in its fight
        this year. While the up-and-coming                                                       USA outperforms this level by coming                                          against low inflation and the economic
        nations of Brazil and Russia are currently                                               in at just over 5%. There are significant                                     weaknesses of some eurozone countries.
        in difficulty, the USA has returned to                                                   differences between national rates of                                         Its multi-billion government bond-buying
        a trajectory of stable growth. However,                                                  unemployment across Europe as well.                                           programme (quantitative easing) has seen
        US economic growth could easily run                                                      In Germany, just 4.2% of people of                                            it support the markets with money since
        into trouble if the Trump government is                                                  working age are currently out of work,                                        the start of 2015, and it plans to stick to
        able to put the ideas for a protectionist                                                while Denmark is currently experienc-                                         this strategy until the end of 2017 at least.
        economic policy into practice. Every eco-                                                ing something close to full employment                                             It is a policy that not only poses a
        nomics student who has heard a lecture                                                   with an unemployment rate of 3.9% (due                                        threat to the retirement provisions made
        on the Ricardian model, David Ricardo’s                                                  to economic fluctuations, there is, in                                        by consumers, but a negative interest rate
        study of the comparative cost advantages                                                 practice, always a base level of around                                       for deposits also has the effect of a special
        in foreign trade, knows that trade imped-                                                3%). In Spain, however, many people are                                       tax on Europe’s businesses.
        iments in the form of customs levies                                                     still registered as out of work despite the                                        At the same time, doubts are growing
        ultimately have a negative impact on all                                                 recent annual declines in unemployment.                                       about the benefits of expansionary mon-
        market participants. A stronger focus on                                                 In the past three years, the figure has                                       etary policies. In the normal scheme of
        the Asian countries, especially China, can                                               gone from over 26% to the present level of                                    things, falling yields for risk-free invest-
        be expected in this case.                                                                19.9%, and observers expect this number                                       ments spur a higher level of consumption
            Within Europe, the performance                                                       to fall further in the coming decade to                                       and rising inflation.
        of different countries reveals consider-                                                 ultimately dip below the 10% mark.                                                 However, this is not what is currently
        able disparities: while Russia, Greece,                                                                                                                                happening in Europe. Instead, several

                                                                                                                                                                                   UNEMPLOYMENT RATE IN EUROPE
        GROWTH RATE OF GDP*                                                                                                                                                        AND IN THE USA*
                                                                                                                                    Source: Oxford Economics, IMF                                                          Source: Oxford Economics, IMF
        %                                                                                                                                                                          %
        15                                                                                                                                                                         12
        12
                                                                                                                                                                                   10
         9
         6                                                                                                                                                                          8

         3                                                                                                                                                                          6
         0
                                                                                                                                                                                    4
        -3
        -6                                                                                                                                                                          2

        -9                                                                                                                                                                          0
             2000
                    2001
                           2002
                                  2003
                                         2004
                                                2005
                                                       2006
                                                              2007
                                                                     2008
                                                                            2009
                                                                                   2010
                                                                                          2011
                                                                                                 2012
                                                                                                        2013
                                                                                                               2014
                                                                                                                      2015
                                                                                                                             2016
                                                                                                                                     2017
                                                                                                                                            2018
                                                                                                                                                   2019
                                                                                                                                                          2020
                                                                                                                                                                 2021
                                                                                                                                                                        2022

                                                                                                                                                                                                                                          2014
                                                                                                                                                                                                                            2010

                                                                                                                                                                                                                                                        2018

                                                                                                                                                                                                                                                                      2022
                                                                                                                                                                                        2000
                                                                                                                                                                                               2002
                                                                                                                                                                                                      2004
                                                                                                                                                                                                             2006
                                                                                                                                                                                                                    2008

                                                                                                                                                                                                                                   2012

                                                                                                                                                                                                                                                 2016

                                                                                                                                                                                                                                                               2020

                GDP growth Brazil (y/y, %)                                  GDP growth China (y/y, %)                          GDP growth India (y/y, %)                                       USA                          Europe
                GDP growth Russia (y/y, %)                                  GDP growth USA (y/y, %)                           GDP growth Europe (y/y, %)

        * estimates after 2016                                                                                                                                                     * estimates after 2016

4   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Catella Market Indicator - Konii
countries’ gross investment levels have                                               The dilemma for the ECB is that it                                                                                   The countries in this report were an
been falling for years. Companies are not                                             can only follow an interest rate policy                                                                              average of approximately 21 basis points
basing their investment decisions only on                                             designed for the entire eurozone, and                                                                                below the target level of 2% in 2016.
the interest rate.                                                                    there is no way of addressing the specific                                                                               Along with the interest rate, other issues
    In the US, the central bank (Fed) has                                             situation in any individual country. By                                                                              such as the individual sales quantities,
reduced its expansive activities and at                                               now, it is high time that Germany and                                                                                economic growth and confidence in overall
the same time carried out the first minor                                             the Scandinavian countries saw their                                                                                 economic development are also of impor-
interest rate hike. It is simply a matter                                             interest rates adjusted upwards, but such                                                                            tance. The last of these factors is reflected in
of time before the ECB follows suit, but                                              an increase would pose threats to the                                                                                EuroStat’s business climate index.
we do not agree when the moment will                                                  economies of other states such as Italy                                                                                  While expectations regarding further
arrive.                                                                               and Greece.                                                                                                          economic development saw no major
    While the eurozone’s inflation level                                                   Looking at inflation in 2016, a large                                                                           changes in 2016 as a whole, the last quarter
has crept up slightly in recent months, this                                          number of countries are far below the                                                                                of the year saw a significant improvement
is more due to the rise in food and energy                                            ECB’s target figure of 2%, and only the                                                                              in the economic outlook of the eurozone,
prices. Despite this change, core inflation                                           Czech Republic and Hungary exceed                                                                                    with a 3% increase in the index.
as defined by the ECB, i.e. the rate of infla-                                        it. The other central banks of European                                                                                  As a result of these positive expecta-
tion excluding food and energy prices, has                                            member states have set similar inflation                                                                             tions, demand for company loans rose.
been stagnating for years.                                                            targets.
                                                                                                                                                                                                                   MONETARY POLICY AND FINANCIAL CONSEQUENCES

                                                                                                                                                                                                                   %                      Source: Property Market Analysis (PMA)

                                                                                                                                                                                                                   8
   POPULATION GROWTH RATE IN EUROPE AND IN THE US*                                                                                                                                                                 7
    %                                                                                                                                    Source: Oxford Economics, IMF                                             6

   1.2                                                                                                                                                                                                             5
                                                                                                                                                                                                                   4
   1.0
                                                                                                                                                                                                                   3
   0.8                                                                                                                                                                                                             2
                                                                                                                                                                                                                   1
   0.6
                                                                                                                                                                                                                   0
   0.4                                                                                                                                                                                                             -1
                                                                                                                                                                                                                                                                      2010

                                                                                                                                                                                                                                                                                              2014

                                                                                                                                                                                                                                                                                                          2016
                                                                                                                                                                                                                        2000

                                                                                                                                                                                                                                   2002

                                                                                                                                                                                                                                          2004

                                                                                                                                                                                                                                                    2006

                                                                                                                                                                                                                                                               2008

                                                                                                                                                                                                                                                                                       2012

   0.2
                                                                                                                                                                                                                                  10 year government bond yields
   0.0
                                                                                                                                                                                                                                  CPI Inflation rate Europe
           2001

                  2002

                          2003

                                 2004

                                        2005

                                                 2006

                                                        2007

                                                               2008

                                                                      2009

                                                                             2010

                                                                                    2011

                                                                                           2012

                                                                                                   2013

                                                                                                               2014

                                                                                                                      2015

                                                                                                                                  2016

                                                                                                                                         2017

                                                                                                                                                      2018

                                                                                                                                                             2019

                                                                                                                                                                          2020

                                                                                                                                                                                 2021

                                                                                                                                                                                                  2022

                                                                                                                                                                                                                                  Main refinancing rate (EUR)
              Europe                           United States             * estimates after 2016                                                                                                                                   Main refinancing rate (USD)

     DEVIATION FROM TARGET INFLATION RATE
     OF ECB                                                                                  ECONOMIC SENTIMENT & BUSINESS LENDING
                         Source: Property Market Analysis (PMA)                                                                                                                                                                                                        Source: Eurostat
     %                                                                                                                                                                                                                                                                                                    %
      50                                                                                    110                                                                                                                                                                                                           1
      40
      30                                                                                    108
      20                                                                                                                                                                                                                                                                                                  0
                                                                                            106
      10
       0                                                                                    104
     -10                                                                                                                                                                                                                                                                                                  -1
     -20                                                                                    102
     -30
                                                                                            100
     -40                                                                                                                                                                                                                                                                                                  -2
     -50                                                                                      98
     -60
     -70                                                                                      96                                                                                                                                                                                                          -3
                                                                                                     08/2014

                                                                                                                        11/2014

                                                                                                                                            02/2015

                                                                                                                                                                05/2015

                                                                                                                                                                                        08/2015

                                                                                                                                                                                                         11/2015

                                                                                                                                                                                                                        02/2016

                                                                                                                                                                                                                                          05/2016

                                                                                                                                                                                                                                                           08/2016

                                                                                                                                                                                                                                                                             11/2016

                                                                                                                                                                                                                                                                                                02/2017
           Czech Republic

                       Italy
              Luxembourg

                   Sweden
           United Kingdom
                    Austria
                   Belgium

                    Finland
                 Denmark
                    France
                 Germany
                   Greece
                  Hungary
                    Ireland

               Netherlands
                  Norway
                    Poland
                  Portugal
                      Spain

                                                                                                               Economic sentiment
                                                                                                               Change in business lending (%)

                                                                                                                                                                                                               CATELL A MARKET INDICATOR | EUROPE | SPRING 2017                                                  5
Catella Market Indicator - Konii
Invitation for investors –
       diversification & stability
        The office market in Europe – basic               comparing these figures against national           growth of 5.5% per annum. This recov-
        information and portfolio strategies              GDP results in an average correlation              ery is exceptionally marked in Ireland,
        Studying the macroeconomic conditions             efficient of 0.5. Particularly Germany             as the average annual rise in prices there
        of a country or economic area is not              (0.57), Sweden (0.66) and Finland (0.69)           comes to over 17% since 2010. Above-
        merely a pleasant side job to investing           display very high correlations. The                average increases are also evident in
        in real estate: analysing macroeconomic           value of the national markets fell by an           Germany (6.7%), Norway (10.7%) and
        parameters is, instead, essential for             average of almost 34% in the two years             Sweden (12.2%).
        making a strategy regarding commercial            2008–2009, with Ireland (-89%), Spain                  If the ECB does actually switch to a
        property a success. It is necessary to keep       (-58%) and Norway (-47%) coming under              more restrictive monetary policy at the
        an eye on market cycles as economic               tremendous pressure, while Germany                 start of 2018 and lower the amount of
        growth and rising office property prices          (-17%), the Netherlands (-16%) and                 money available to commercial banks
        are positively correlated. This top-down          Austria (-19%) display comparatively               via the tender procedure, this move
        development requires a further addition           restrained losses.                                 will have a knock-on effect on office
        to the real estate property view in the case          Between 2010 and now (as of 31                 real estate markets around Europe,
        of reduced capital growth expectations.           December 2016), most countries once                with average growth instead coming to
            Looking and analysing growth rates            again returned to stable growth, with              around zero until 2021. However, a toler-
        for office costs in different countries and       office property registering an average             ance range of +1% to -4% is expected.

        PRIME OFFICE CAPITAL GROWTH OF SELECTED COUNTRIES

         %                                                          Source: Property Market Analysis (PMA)

         40
         30
         20
         10
          0
        -10
        -20
        -30
        -40
        -50
        -60
              1991
              1992
              1993
              1994
              1995
              1996
              1997
              1998
              1999
              2000
              2001
              2002
              2003
              2004
              2005
              2006
              2007
              2008
              2009
              2010
              2011
              2012
              2013
              2014
              2015
              2016
              2017
              2018
              2019
              2020
              2021

        GDP GROWTH OF SELECTED COUNTRIES

         %
          8
          6
          4
          2
          0
         -2
         -4
         -6
         -8
        -10
              1991
              1992
              1993
              1994
              1995
              1996
              1997
              1998
              1999
              2000
              2001
              2002
              2003
              2004
              2005
              2006
              2007
              2008
              2009
              2010
              2011
              2012
              2013
              2014
              2015
              2016
              2017
              2018
              2019
              2020
              2021

              Finland     France      Germany          Spain      Sweden

6   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Catella Market Indicator - Konii
Before analysing the oppor-                 EUROPEAN REAL ESTATE MARKETS (OFFICE) – SIZE STRUCTURES
                                                                                                                            Source: Catella Research, Property Market Analysis (PMA)
tunities and risks connected
                                            0.65%                                   Edinburgh n
with Europe’s different cities,             0.80%                               Birmingham b
                                            0.82%                                Glasgow v
it is necessary to look at                  0.94%                             Budapest c                                       1 London                                      11.84%
                                            0.95%                             Prague x
the markets’ relative size in               0.96%                           Lisbon z
order to assess their impor-                1.00%               Luxembourg ;
                                            1.08%                       Lille l
                                                                                                                                                    2 Paris                  11.69%
tance within the European                   1.12%                 Dublin k
                                            1.20%             Marseille j
context and show the wide                   1.22%         Rotterdam h
spectrum of investment                      1.24%       Manchester g
destinations.                               1.39%       Barcelona f
                                            1.59%       Warsaw d
     Within the group of                                                                                                                                         3 Berlin    5.92%
                                            1.68%        Lyon s
35 major cities across the                                                                                  Nordics
                                            1.98%     Cologne p
continent, London and Paris
alone account for almost                    1.98%    Stuttgart a
                                                                                                       Continental Europe
24% of the entire total of                  2.00%   Amsterdam o                                                                                                    4 Munich 4.58%
office space (in 2016) with 70              2.51%        Rome i
                                                                                                           UK/Ireland
million sq m.
                                            2.52%      Dusseldorf u                                                                                            5 Moscow      4.57%
     By way of comparison,
the German cities of                        2.58%              Milan y
Munich, Berlin, Frankfurt,                  2.81%                  Madrid t
                                                                                                                                                         6 Brussels           4.45%

Cologne and Dusseldorf
                                            2.87%                      Helsinki r                                                                7 Hamburg                   3.90%
make up just under 18% of
                                            3.05%                        Copenhagen e
the total market.                                                                                                                      8 Stockholm                           3.83%
                                            3.29%                                                 Oslo w                        9 Vienna                                     3.57%
                                                                                                               q Frankfurt                                                   3.43%

PRIME NET YIELDS (TOP-15 CITIES)                         yields in Munich, Stockholm, Berlin and                        ties must actually be available. Here,
(AVERAGE; 2017–2021)                                     Hamburg come to just 3–3.5% for the                            market size is a good indicator.
%          Source: Property Market Analysis (PMA)
                                                         following few years.                                               Generally speaking, comparatively
5                                                            Similarly, the yields in many other                        large markets obviously have a lower
                                                         cities around the continent are below 4%.                      Sharpe Ratio when looked at in the long
4
                                                             The conventional (classic) model of                        term.
3                                                        the yield-to-risk profile compares the                             Amsterdam and Oslo are two very
                                                         expected yield, normally postulated as                         interesting markets for office property
2
                                                         total returns, against changes in volatil-                     as both cities have high expected relative
1                                                        ity over time.                                                 rent growth and a positive Sharpe ratio.
                                                             The Sharpe ratio puts a value on                               Berlin proves itself to be a very
0                                                        the excess yield earned by an invest-                          dynamic market, as expected future
       Cologne

    Copenhagen
     Stockholm
        Munich

          Berlin
      Hamburg
         Madrid
           Paris
       Stuttgart
           Oslo
      Frankfurt

      Barcelona
         Vienna
          Milan
     Dusseldorf

                                                         ment relative to the risk, and it permits                      growth in rents reaches a value of almost
                                                         both components to be combined. By                             4% per annum. However, the Sharpe
                                                         juxtaposing the Sharpe ratio with the                          ratio of 0.29 is due to volatility in the
                                                         expected growth in rents for office prop-                      city, and this low figure means that
                                                         erties, it is possible to rate the opportuni-                  returns in Berlin are not commensurate
International investors continue to                      ties present in specific markets.                              to the risks involved. Obviously, the
show great interest in Europe’s major                        To make a practical assessment, it is                      capital market rates the investment loca-
cities, something reflected in the low                   also important that it is possible to invest                   tion of Berlin higher than it would be
purchase yields. For example, purchase                   in a market, i.e. investment opportuni-                        fundamentally justified

                                                                                                                        CATELL A MARKET INDICATOR | EUROPE | SPRING 2017               7
Investment matrix – Forecast 2017–2021                                                                                        Source: Property Market Analysis (PMA)

                                                     5

                                                     4
                                                                                                        Berlin
        Expected average rental change (2017–2021)

                                                                                                                            Munich
                                                     3
                                                                                                                                                                                            Amsterdam
                                                                                          Stockholm                                                          Oslo
                                                                                                                    Milan

                                                                                          Barcelona                     Paris
                                                                                                                                                Luxembourg
                                                     2                                        |
                                                                           Madrid                                              Moscow
                                                                                                                  Dusseldorf Prague            — Cologne               Rotterdam
                                                                         Frankfurt                                                                                                           Lyon

                                                                                                                    Edinburgh —                                Birmingham
                                                                                                      Vienna
                                                                                          Helsinki                                                     — Brussels
                                                     1                                                                                                                                 Manchester
                                                                 Copenhagen                                            Hamburg       Stuttgart
                                                                                                                                            Budapest         Glasgow                                Marseille
                                                                                                                 Lisbon
                                                                                              Rome

                                                                                                                                Dublin                   Warsaw          Lille
                                                     0

                                                     -1
                                                                                                                            London

                                                     -2
                                                          0                          20                        40                        60                       80                        100                      120

                                                                                                                            Standardised sharpe ratio

                                                          Note: the size of a bubble reflects the market size of a specific location.

                                                               Nordics          Continental Europe             UK/Ireland

        Applying a “buy and hold strategy” view                                                                  risk profile proves its value in the form                         ity than the market as a whole. If equal
        of the selected elements, we recommend                                                                   of a μ-σ calculation. Catella Research has                        to 1, the level of volatility in the market
        against investing in London’s office                                                                     augmented the comparison of expected                              is exactly the same as the volatility of
        property sector. Though the Sharpe ratio                                                                 yields and volatility by incorporating the                        the larger market, while a factor below 1
        is in the lower mid-range, we expect                                                                     beta risk factor (beta factor/β factor).                          means that the market in question is less
        top-end real estate to return, on average,                                                                   The beta factor indicates the link                            volatile than the aggregate market.
        negative growth rates for rent in the                                                                    between the yield development of one                                  According to the capital asset pricing
        future.                                                                                                  location and the overall market. If higher                        model (CAPM), a high beta factor is
            Leaving this assessment of the oppor-                                                                than 1, this means that an investment in                          reflected in a high yield and, conversely,
        tunities aside, the conventional yield-to-                                                               a specific market displays greater volatil-                       a low factor is reflected in a low yield.

8   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Risk-Return Profile 2017                                                                                           Source: Catella Research, Property Market Analysis (PMA)

                           20

                                                                                                                                      Madrid—

                                                                                                                                                                                                Dublin
                                                                                                                                                                                                |

                           15
                                                                                                                                      —Barcelona

                                                                              Munich —

                                                                                           Berlin
                                                                                           |
                                                                                                                                                                   Note: the size of a bubble
                           10                                                                                                                                      reflects the beta risk of a
Total Return (2017) in %

                                                              Cologne——                                     Paris
                                                                             —Prague     Frankfurt                                                                 specific location.
                                                                                                            CBD —               —Stockholm
                                                                                             |
                                                             Dusseldorf——
                                                                                                                                                                         Nordics
                                              Rotterdam———                — Marseille                                                             |
                                                                                                     Paris Central—                             Paris
                                                                                                                                             La Défence                  Continental Europe
                                                             Amsterdam—     — Hamburg
                                                                              —European Portfolio*                                                                       UK/Ireland
                                             Brussels—        Lille—
                                                                               —Budapest                                —Paris Western Business District                 European Portfolio:
                                                 Stuttgart—
                            5                                                      Rome                                                                                  average ideal Portfolio
                                                           Luxembourg—      —Lyon |
                                                Vienna—        Helsinki —                      —Milan
                                                                     Birmingham—                —Glasgow
                                                                                       |        —Edinburgh
                                                                              Manchester        —London M25 West

                                                    Copenhagen—                    Lisbon—

                                                                                                 |
                                                                                               Warsaw          —Oslo

                            0

                                                                                                                                                 —London Docklands

                                                                                                                                                —London City
                                                                                                             London Central —
                                                                                                                                         —London West End and Midtown

                           -5
                                0                        5                               10                                15                                20                                    25

                                                                                                      Volatility in %

                                The size of the bubbles in the chart cor-          made up for by the commensurately high                        Investment managers overseeing large
                                responds to the beta factor: the larger            yields expected for 2017.                                     real estate portfolios should not make
                                the bubble, the higher the given market’s              Direct investment in Dublin’s office                      their decisions solely on the base of a
                                underlying beta factor.                            property market can generate a top total                      specific investment option’s favourable
                                   Dublin, Moscow, Barcelona and                   return of 15.8%, a figure surpassed only                      yield and risk factors.
                                Madrid are relatively risky markets.               by Madrid’s 18.7%.
                                However, the investment risk derived                   In contrast, there are no high yields
                                from the beta risk in the four markets is          to compensate for the beta risks values of
                                                                                   Paris and London.

                                                                                                                                                  CATELL A MARKET INDICATOR | EUROPE | SPRING 2017           9
CORRELATION COEFFICIENT OF EUROPEAN OFFICE MARKETS (1994-2021)
                                    Vienna     Brussels      Prague   Copenhagen    Helsinki       Paris     Berlin   Dusseldorf   Frankfurt   Munich
        Vienna                        1.00         0.65        0.26         0.53        0.13       0.72        0.79         0.72        0.70     0.69
        Brussels                      0.65         1.00        0.40         0.58       0.28        0.66        0.51         0.42        0.51     0.46
        Prague                        0.26         0.40        1.00         0.54       0.67        0.47        0.13         0.26        0.27     0.36
        Copenhagen                    0.53         0.58        0.54         1.00        0.31       0.58        0.39         0.22        0.39      0.41
        Helsinki                       0.13        0.28        0.67         0.31       1.00        0.38        0.17         0.11        0.29     0.36
        Paris                         0.72         0.66        0.47         0.58       0.38        1.00        0.70         0.65        0.73     0.78
        Berlin                        0.79         0.51        0.13         0.39        0.17       0.70        1.00         0.72        0.74     0.80
        Dusseldorf                    0.72         0.42        0.26         0.22        0.11       0.65        0.72         1.00        0.80     0.80
        Frankfurt                     0.70         0.51        0.27         0.39       0.29        0.73        0.74         0.80        1.00     0.84
        Munich                        0.69         0.46        0.36         0.41       0.36        0.78        0.80         0.80        0.84     1.00
        Stuttgart                     0.67         0.29        0.03         0.27        0.14       0.48        0.79         0.70        0.75     0.75
        Budapest                      0.42         0.59        0.78         0.75       0.63        0.59        0.33         0.30        0.38      0.45
        Dublin                        0.54         0.48        0.32         0.52       0.40        0.56        0.46         0.29        0.49     0.64
        Rome                          0.22         0.50        0.17         0.27       0.33        0.45        0.33         0.36        0.60      0.41
        Amsterdam                     0.51         0.44        0.16         0.44        0.46       0.39        0.48         0.33        0.57     0.44
        Oslo                          0.57         0.38        0.71         0.55       0.64        0.68        0.42         0.56        0.60      0.61
        Warsaw                        0.32         0.26        0.69         0.36       0.57        0.38        0.17         0.40        0.23     0.25
        Barcelona                     0.56         0.69        0.34         0.67       0.37        0.62        0.56         0.31        0.60     0.57
        Madrid                        0.65         0.62        0.39         0.78       0.37        0.75        0.63         0.45        0.65     0.72
        Stockholm                     0.47         0.45        0.48         0.47       0.68        0.60        0.52         0.26        0.47     0.56
        London                        0.21         0.24        0.54         0.37        0.61       0.59        0.22         0.14        0.35     0.39

        Source: Catella Research

        Instead, an investment which looked               have access to options for diversifying          Taking into account the fluctuation risks
        rather uninteresting at first glance can          their overall portfolios.                        present in all local markets, a European
        actually be of considerable interest for              Barcelona and Madrid score 0.87 in           property portfolio should generate an
        the portfolio as a whole if the option in         this context, a fact that we feel needs no       overall yield of 6.7% in 2017.
        question offers potential for diversifica-        further explanation.                                 Looking at the 35 different local
        tion.                                                 Stuttgart and Prague have a correla-         markets, we can see that the model yield
            The matrix of correlation coefficients        tion coefficient of 0.03. With an average        as per CAPM is below actual yield for
        shows if an investment does in fact offer         correlation of 0.33, Warsaw is particu-          nine of them. Insight which suggests that
        such potential or not.                            larly suitable for portfolio diversification.    these markets are actually overpriced
            European integration and the crea-                Portfolio selection is far more than just    and that yields do not adequately reflect
        tion of an internal market spanning the           “not putting all your eggs in one basket”.       risks, i.e. market risks.
        continent means that the economic links           Similarly, it is more than putting together          This applies in particular to the above
        between different cities are growing all          a risk- and yield-optimised portfolio            locations London and Paris that, from
        the time.                                         based on expected performance figures.           a capital market approach, they have an
            It therefore comes as no surprise that            Returning to CAPM, it can be used            average of 700 bp overvaluation.
        all major cities in Europe reveal positive        to identify fair prices for office markets           In contrast, Germany’s markets
        correlations. As these correlations range         by applying the yield construction in the        return yields are too high, making
        from 0.03 to 0.87, investment managers            theoretical model.                               them undervalued within the European

10   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Source: Catella Research
   Stuttgart   Budapest      Dublin      Rome    Amsterdam       Oslo    Warsaw     Barcelona     Madrid   Stockholm        London
        0.67       0.42        0.54       0.22         0.51      0.57       0.32         0.56       0.65        0.47            0.21
       0.29        0.59        0.48       0.50         0.44      0.38       0.26         0.69       0.62        0.45            0.24
       0.03        0.78        0.32       0.17         0.16      0.71        0.69        0.34       0.39        0.48            0.54
       0.27        0.75        0.52       0.27         0.44      0.55       0.36         0.67       0.78        0.47            0.37
        0.14       0.63        0.40       0.33         0.46      0.64       0.57         0.37       0.37        0.68            0.61
        0.48       0.59        0.56       0.45         0.39      0.68       0.38         0.62       0.75        0.60            0.59
        0.79       0.33        0.46       0.33         0.48      0.42        0.17        0.56       0.63        0.52            0.22
        0.70       0.30        0.29       0.36         0.33      0.56       0.40         0.31       0.45        0.26            0.14
        0.75       0.38        0.49       0.60         0.57      0.60       0.23         0.60       0.65        0.47            0.35
        0.75       0.45        0.64       0.41         0.44      0.61       0.25         0.57       0.72        0.56            0.39
       1.00        0.19        0.40       0.37         0.44      0.43       0.09         0.44       0.45        0.39            0.12
        0.19       1.00        0.51       0.42         0.44      0.66       0.50         0.62       0.65        0.64            0.60
       0.40        0.51        1.00       0.28         0.58      0.50        0.14        0.76       0.80        0.54            0.49
       0.37        0.42        0.28       1.00         0.50      0.31       0.20         0.65       0.48        0.38            0.26
       0.44        0.44        0.58       0.50         1.00      0.50       0.22         0.73       0.65        0.60            0.29
        0.43       0.66        0.50       0.31         0.50      1.00       0.80         0.48       0.54        0.53            0.60
       0.09        0.50        0.14       0.20         0.22      0.80       1.00         0.17       0.23        0.28            0.32
       0.44        0.62        0.76       0.65         0.73      0.48        0.17        1.00       0.87        0.62            0.36
        0.45       0.65        0.80       0.48         0.65      0.54       0.23         0.87       1.00        0.61            0.43
       0.39        0.64        0.54       0.38         0.60      0.53       0.28         0.62       0.61        1.00            0.52
        0.12       0.60        0.49       0.26         0.29      0.60       0.32         0.36       0.43        0.52            1.00

context. These findings can be used as              RETURN SPREAD BETWEEN REAL RETURNS AND MODEL RESULTS (CAPM)

indicators, but they should be treated                 %                                                       Source: Property Market Analysis (PMA)
with care as the requirements for apply-              900
ing the CAPM model are not met in full.               600
    Insufficient divisibility, asset hetero-          300

geneity, problems with actual availability              0

and the lack of short-selling options all            -300

greatly restrict the theory‘s applicability          -600
                                                     -900
to the real estate markets.
                                                    -1,200
    In other words, there is some bad
                                                    -1,500
news: mispricing and market inefficien-
                                                                  Stockholm
                                                                      Vienna
                                                                     Brussels
                                                                      Prague
                                                                Copenhagen
                                                                     Helsinki
                                                                          Lille
                                                                         Lyon
                                                                    Marseille
                                                               Paris: Central
                                                                        Berlin
                                                                     Cologne

                                                                    Frankfurt
                                                                    Hamburg

                                                                    Stuttgart
                                                                    Budapest
                                                                      Dublin
                                                                        Milan
                                                                       Rome
                                                                Luxembourg
                                                                 Amsterdam
                                                                  Rotterdam
                                                                         Oslo
                                                                     Warsaw
                                                                       Lisbon
                                                                     Moscow
                                                                   Barcelona
                                                                      Madrid

                                                                 Birmingham
                                                                   Edinburgh
                                                                     Glasgow
                                                             London: Central
                                                                      Munich
                                                                  Dusseldorf

cies are always present in property
markets. However, there is also good
news: yield sources will never dry up for
investors, particularly when it comes to
options far removed from classic core
real estate.

                                                                                                CATELL A MARKET INDICATOR | EUROPE | SPRING 2017        11
The rise of the European
        markets – deals & pricing
        The office market in Europe –                                              Analogously to the transaction volumes,                           We can also see that 50% of all trans-
        deals and pricing                                                          it is necessary to point out that in Q3                           actions within the yield spectrum are
        Transactions in the office segment have                                    2007, when prices were at their highest                           located in the 6.7–4.5% range.
        seen constant improvement since the                                        before the crash, investing in European                               Top transactions took place with a
        2007/2008 financial crisis. Looking at                                     office property reached its peak cost and,                        yield level of 2%.
        the data from 2007 to 2017, we can see                                     as a result, the lowest interest return. In                           In the lowermost segment of the yield
        that the highest annualised transaction                                    autumn 2007, the medium-term capi-                                distribution table, there are transactions
        volume was recorded in 2007 at EUR 126                                     talisation rate (all risk yield; ARY) came                        with yield returns of over 13%, so it is
        billion. This figure fell by almost 75% to                                 to 5.5%. Medium-term yields of over 7%                            clear that a lot of money can still be
        EUR 32 billion in 2009.                                                    were once again being generated at the                            made with real estate outside of conven-
            Since this low point, transactions                                     end of 2009.                                                      tional core markets.
        began to grow continously almost 5%                                             The yield compression which set in                               The buyer profile has this year seen
        a year, though this annual increase                                        afterwards has resulted in the present                            a clear shift towards non-national
        stopped in 2016 and has fallen by 10%.                                     medium-term yield of 5.8% for office                              investors: while just under 48% of buyers
            This decline in transaction volume                                     property, i.e. today’s prices have again                          were from abroad in 2016, Q1 2017 has
        cannot be interpreted as a turning point                                   edged towards their peak ten years ago.                           already seen the figure for non-domestic
        in the investment market.                                                  The difference in prices has fallen to                            purchasers jump to almost 66%.
            Prices for offices continue to rise,                                   under 5%.                                                             The number of other domestic players
        resulting in yield compression in this                                          Looking at distribution, we see that                         on the market has remained more or less
        segment. An assessment of the prices                                       the median empirical yield distribution                           identical in recent years.
        for office investments includes not just                                   – transactions over the past few years –                              Looking at Q1 2017, we can see that
        classic core and “core plus” items, but                                    stands at just 5.5%. It is exactly the same                       the different investor categories favoured
        also (albeit to a lesser extent) value-                                    as the simple mean value of pre-crisis                            the German and UK market.
        added properties.                                                          levels.

        OFFICE TRANSACTION VOLUME EUROPE

        € billion                                                                                                                                                                  Source: Catella Research, PMA
        40
        35
        30
        25
        20
        15
        10
         5
         0
               Q1 ’07

                             Q3 ’07

                                      Q1 ’08

                                               Q3 ’08

                                                        Q1 ’09

                                                                 Q3 ’09

                                                                          Q1 ’10

                                                                                      Q3 ’10

                                                                                               Q1 ’11

                                                                                                        Q3 ’11

                                                                                                                 Q1 ’12

                                                                                                                          Q3 ’12

                                                                                                                                   Q1 ’13

                                                                                                                                            Q3 ’13

                                                                                                                                                      Q1 ’14

                                                                                                                                                               Q3 ’14

                                                                                                                                                                        Q1 ’15

                                                                                                                                                                                 Q3 ’15

                                                                                                                                                                                          Q1 ’16

                                                                                                                                                                                                   Q3 ’16

                                                                                                                                                                                                            Q1 ’17

                        Volume
                        Long term average = € 19.47 billion

12   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Almost a quarter of the year’s property             CROSS BORDER ANALYSIS IN THE OFFICE SEGMENT

transactions involved real estate in the                                                                                                  Source: Real Capital Analytics (RCA)
                                                    %
country. The German market leading
                                                    25
the way with 27%, followed by the UK
with 25.5%, with France in third place at           20
almost 14%.
                                                    15
    To conclude this study, we would
like to take a closer look at the cohort of          10
foreign investors. Many of them are from
                                                     5
the USA, and they have invested an aver-
age of EUR 17.8 billion in the European              0
                                                              2007

                                                                         2008

                                                                                    2009

                                                                                                    2010

                                                                                                           2011

                                                                                                                          2012

                                                                                                                                 2013

                                                                                                                                               2014

                                                                                                                                                           2015

                                                                                                                                                                         2016
office property sector over the past three
years.
    US-based investor Blackstone                              USA                          Canada                 South Korea              Hong Kong
                                                              Germany                      France                 Qatar
deserves to be mentioned in this context:
                                                              United Kingdom               Switzerland            China
the company has acquired assets in the
segment worth EUR 6.6 billion in the
                                                    MOST ACTIVE COUNTRIES BY OFFICE VOLUME Q1 2017
last two years alone.                                                                                                                          Source: Catella Research, PMA
    Another visible trend is how an ever-
                                                    Others*           2.9%
growing number of investors from Arab
                                                    Finland           1.6%
and Asian states are moving into the                                                                                                                   Germany           27.2%
                                                    Belgium           1.8%
European office market. Investors from              Denmark           2.2%
South Korea, Qatar, China and Hong
                                                    Netherlands 5.0%
Kong were responsible for purchases
amounting to EUR 9 billion in Europe in             Spain             6.1%
2016 and EUR 1.3 billion in Q1 2017.
    Turning to European investors, it is            Norway            6.6%
                                                                                                                                                United Kingdom           25.2%
apparent that the Swiss are particularly
                                                    Sweden            7.2%
fond of acquiring properties outside
of their own borders, having invested
                                                    France            13.9%
EUR 8 billion in the last three years
alone.                                              *Poland, Baltics, Luxembourg

BUYER COMPOSITION IN THE EUROPEAN                   PRICING ANALYSIS*
OFFICE MARKET
             Source: Real Capital Analytics (RCA)
%                                                            Bottom              Bottom 25%                 Median                Top 25%                         Top
120                                                           13.1%                   6.7%                    5.5%                      4.5%                      2.0%
         3        2        3        6        2
100
        15       12       11       14        8
                                             7
 80      6       10       10       10
                                            18
 60     28       24       22       23
                                                    * Yield at acquisition: quartile (data based on past 12 months)
 40
                                                    Source: Real Capital Analytics (RCA)
 20
        47       52       54       48       66
  0
      2013     2014     2015     2016     2017
      Cross-Border
      Institutional
      REIT/Listed
      Private
      User/Other

                                                                                                                  CATELL A MARKET INDICATOR | EUROPE | SPRING 2017               13
European office market map
        overview 2017
                                                                                                                                                                                                            EUR
                                                                                                                                                                                                            1.30
                                                                                                                                                                                                             bn
                                                                                                                                                                      EUR                                SWEDEN
                                                                                                                                                                      1.19
                                                                                                                                                                       bn
                                                                                                                                                                NO R W A Y

                                                                                                                                                             3.70
                                                                                                                                                             34.20                               3.40
                                                                                                                                                             9,925,871                           48.90
                                                                                                                                                                                                 11,587,583
                                                                                                                                                                                 OSLO
                                                                                                                                                     3.90
                                                                                                                                                                                               STOCKHOLM
                                                                                                                                                     25.30
                                                                                                                                                     2,097,000

                                                                                                                                                                                    GOTHENBURG
                                                                             EUR                                                                              4.00                     4.25
                                                                             4.60                                                             EUR
                                                                                                                                              0.39            21.25                    20.90
                                                                              bn                                                               bn
                                                                                                                                                              9,611,908                2,200,000
                                                                               UK                                              EUR         D E NM A R K
                                                                                                                               0.90
                                                                                                                                bn                     COPENHAGEN                              MALMÖ
                                                                                        5.25
                                                                                                                                                 3.25
                                                            MANCHESTER                  35.60                         NE T H E R L A ND S
                                                                                                                                                 26.00
                                                                                        3,733,262             5.12                4.10                                                                  EUR
                                                                                                                                                 11,754,939                                             0.26
                                                            5.30                                              16.25               27.90
                                                                                                                                                                                                         bn
                                                            32.10                BIRMINGHAM                   3,649,168           5,986,268                            HAMBURG                        POLAND
                                                            2,418,737            LONDON
                                                4.00                             CITY                    AMSTERDAM                             3.80                                            3.10
                                                71.50                                               ROTTERDAM                                  26.50                EUR                        28.50
                                                6,207,726
                                                            3.50           LONDON WEST END                                                     7,577,590            4.90         BERLIN
                                                                                                                                                                                               17,821,706
                                                                                                                        EUR                                          bn
                                                            111.50                   4.65                               0.32               DUSSELDORF
                                                                                                       BRUSSELS           bn                                  G E R M A NY         3.85
                                                            5,956,279                18.75
                                                                                                             B E L G IU M                                                          22.00
                                                                                                                   EUR           COLOGNE                       3.60
                                                                                     13,392,385                    0.12
                                                                                                                                                                                   5,964,191
                                                                                                         LUXEMBOURG bn                                         38.00
                                                                                3.00                                                       FRANKFURT
                                                                                                                                                               10,311,190
                                                                                63.50                         4.45
                                                                                                     PARIS                                        STUTTGART
                                                                                52,238,805                    45.00
                                                                                                              3,064,787                                                   3.10
                                                                                                                               3.50             MUNICH
                                                                                                                                                                          36.50
                                                                                                                               23.00
                                                                                                                                                                          13,770,914
                                                                                                                               6,032,613
                                                                         EUR
                                                                         2.50
                                                                          bn                 4.50
                                                                                                                     LYON
                                                                        F R A NC E           19.20
                                                                                             5,175,129
                                             EUR
                                             1.10
                                              bn
                                             SPAIN

                                3.40                                                    3.60
                                                MADRID        BARCELONA
                                33.00                                                   24.00
                                12,850,000                                              6,000,000

14   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
EUR
                    0.29
                     bn
             FINLAND

    OULU
                       7.50
                       20.00
                                                         Prime yields                     Due to high demand for prime assets,
                                                                                          the yields in most European locations are
                       616,400                                            31
                                                              33                          forecast to decrease further. In addition
                                                                          11
                                                                          14
             6.75                                          locations                      to this, the yield gap between prime and
                                                                          19
                                                                          17
             20.00                                                                        secondary is expected to narrow.
                                               7.50
             886,000
                                               19.00

TAMPERE                                        268,800
                  LAHTI          4.50                    Prime rents                      Limited class-A stock and a lagging development
                                 33.00                                                    pipeline in prime locations are the main reasons
      TURKU                                    7.25                       18
                                                                          19
                                 8,633,000
                                                              33                          for growing or stable prime rents in the medium-
                   HELSINKI                    19.00                      12
                                                                          17
                                                           locations                      term. Decreasing prime rents in London, due to
                                               828,300
      TALLINN                                                             21
                                                                                          ongoing BREXIT uncertainty.
                      E ST O N I A             6.20
                                               18.00
                                               638,000
                                                         Office transaction volume
                           LATVIA              6.80
          RIGA
                                               17.00                                                                   Source: Catella Research 2017, PMA
                              EUR
                              0.15             760,000                                  Office transaction volume per country in EUR billion
                               bn
                                                                                                                           % change
             LITHUANIA                                                                                                  compared to
                                                                                     Q1 2017            Q1 2016            Q1 2016*                2016
                                     6.50                Spain                           1.10               0.51               116%                5.91
             VILNIUS
                                     17.00               France                          2.50               1.32                89%               19.12
                                     570,000             Baltics                         0.15               0.10                50%                0.48
                                                         Norway                          1.19               0.84                41%                2.88

 WARSAW                                                  Germany                         4.90               4.00                22%               22.10
                                                         Sweden                          1.30               1.09                20%                5.43
          4.90
                                                         Netherlands                     0.90               0.93                -3%                5.90
          20.00
                                                         Belgium                         0.32               0.36               -11%                1.78
          4,985,463
                                                         Luxembourg                      0.12               0.16               -26%                0.99
                                                         Finland                         0.29               0.39               -27%                1.64
                                                         Denmark                         0.39               0.57               -31%                2.17
                                                         United Kingdom                  4.60               8.30               -45%              22.30
                                                         Poland                          0.26               0.54               -52%                1.88

                                                         * Percent change may not be accurate, due to roundings

                                                          EUR
                                                          1.30      Office Transaction volume per country in EUR billion, Q1 2017
                                                           bn

                                                          Prime office yield, net %

                                                          Prime office rent, EUR/sq m. per month

                                                          Office stock

                                                              Forecast 6 months

                                                                                                           CATELL A MARKET INDICATOR | EUROPE | SPRING 2017   15
Baltics

        Great opportunities at attractive yields
        ALTHOUGH MOST AFFECTED BY THE                                                                            TOTAL OFFICE STOCK IN PROPORTION
                                                                                                                 TO TOTAL VACANCY
        CRISIS, the Baltics region witnessed
        great recovery afterwards, while the EU                                                                                                                          Tallinn
        as a whole stagnated. The Baltics GDP
        growth was 2.0% in 2015 and 1.9% in
        2016. During the past few years, while
        external environment has restrained
        the economic growth, the Baltics GDP
        growth has been mostly driven by the
                                                                                                                                                                 Riga
        domestic consumption. Along with the
        economic improvement of the main
        trade partners, the GDP growth is
        expected to pick up again, landing near
        2.6% in 2017.                                                                                                                                                       Vilnius
            Despite of the Baltics having generally
        stood out with solid inflation rates as
        compared to the rest of EU, since 2014
        the inflation rates have plummeted due to
        energy related commodities pricing. From
        the 2H 2016, attributable to the disappear-
        ance of the negative impact from energy
        related prices, the inflation has picked
        up again with rest of the EU. In 2017 the                 ized, the transaction volume is limited        GROWTH RATES OF PRIME RENT

        inflation is expected to reach 2.1%.                      by the supply of suitable assets at accept-    %
            The declining unemployment and                        able pricing.                                  12
        low inflation across the Baltics has led to                   Local investors as well as investors       10
                                                                                                                  8
        significant real wage increase, which in                  from Nordic and CIS countries dominate
                                                                                                                  6
        turn has driven the private consumption                   the market. The majority of the main            4
        growth. Unemployment is expected to                       local investors are actively seeking            2
        decrease further, whereas structural                      investment opportunities. There has also        0
                                                                                                                 -2
        unemployment remains the key issue                        been increasing interest among investors
                                                                                                                 -4
        to reduce unemployment rates in the                       from CIS countries over the past year.         -6
        future.                                                       While the prime yield rates have           -8
            The Baltics commercial property                       compressed significantly over the past                     Tallinn                      Riga                     Vilnius

        markets have been rather active from                      five years, further moderate contraction                2000-2008                      2009-2016                  2017-2020

        2H 2012 onwards in terms of transaction                   is expected due to excessive demand for
        volume. In 2016, the Baltic property                      prime assets in the region. The current
        investment market recorded a trans-                       prime office yield levels are around 6.2%
        action volume of around EUR 1.1 billion.                  in Tallinn, 6.5% in Vilnius and 6.8% in        OFFICE TRANSACTION VOLUME

        Although the market is very well capital-                 Riga.                                          In EUR million
                                                                                                                 200

                                                                                                                 150

        LOCATION KEY FACTS AS OF Q1 2017                                                                         100
                                             Office transaction     Prime rent
                               Office stock,           volume,           p. m.,   Prime yield,   Vacancy rate,
        City                           sq m.           mn EUR       EUR/sq m.               %               %     50

        Tallinn                    638,000                25.0       18.00           6.20                5.00
        Riga                       760,000                 11.0       17.00           6.80               7.40         0
                                                                                                                          2008
                                                                                                                                   2009
                                                                                                                                           2010
                                                                                                                                                  2011
                                                                                                                                                          2012
                                                                                                                                                                  2013
                                                                                                                                                                           2014
                                                                                                                                                                                   2015
                                                                                                                                                                                          2016
                                                                                                                                                                                                 Q1 2017

        Vilnius                    570,000                75.0       17.00            6.50               6.10
           Forecast 6 months                                                                                                     Tallinn             Riga                   Vilnius

16   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Belgium

Prime yield at historically low level
THE BELGIAN ECONOMY grew by an                                   look are mainly external. In particular,                 TOTAL OFFICE STOCK IN PROPORTION
                                                                                                                          TO TOTAL VACANCY
annualised 1.1% in Q4 2016, just below                           any potential shift to a less trade-friendly
the overall growth rate of 1.2% last year.                       global environment would have negative
Domestic demand and net exports both                             repercussions for the export sector. Bel-
contributed notably to GDP growth,                               gium has tight trade links with the UK.
                                                                                                                                                   Brussels
while changes in inventories were a drag                             After strong performances in 2016,
on growth. Consumer prices rose by 1.8%                          office investment volumes witnessed a
in 2016, compared to 0.6% in 2015 and                            slow start to the year in Q1, with EUR 138
0.2% in the euro area at large. They are                         million invested in Brussels office proper-
forecast to rise by 2% in 2017 and by 1.8%                       ties. Compared to the same period in
in 2018. Belgium’s economy is expected                           2016 this is a decrease of 59%. Neverthe-
to grow by approximately 1.5% in 2017                            less, appetite, especially from domestic
and 2018. Domestic demand is projected                           investors, is still strong and healthy as
to strengthen gradually, leading to a                            the economic environment is forecast to
diminishing contribution to growth from                          remain attractive this year. The largest
net trade. Unemployment is forecast to                           transaction was the acquisition of IT                so far. The prime yield decreased further
continue decreasing steadily, falling to                         Tower for approx. EUR 76 million by AG               during the past 12 months to a current
7.6% in 2018. Inflation is set to hit 2% in                      Real Estate. However, foreign investors              low of 4.65% for Brussels and could even
2017 and 1.8% in 2018. Risks to the out-                         didn’t take place on the Brussel market              witness a slight further compression dur-
                                                                                                                      ing 2017.
                                                                                                                          In Brussels, the take-up is around
GROWTH RATES OF PRIME RENT                                       OFFICE TRANSACTION VOLUME
                                                                                                                      80,200 sq m. in Q1, mainly helped by
%                                                                In EUR million
                                                                 2,500
                                                                                                                      a 22,000 sq m. pre-letting of Beobank.
3.5
                                                                                                                      We expect a relatively strong decrease
3.0
                                                                 2,000                                                of activity in 2017, take-up should stand
2.5
                                                                 1,500
                                                                                                                      at around 350,000 sq m. for the whole
2.0
                                                                                                                      year. The vacancy rate recorded further
1.5                                                              1,000                                                decrease in Q1 and stands at around
1.0
                                                                  500
                                                                                                                      9.2%. However, this should increase dur-
0.5                                                                                                                   ing the year, despite the limited specula-
0.0                                                                  0                                                tive supply awaited. The prime rental
                                                                            2001
                                                                            2002
                                                                            2003
                                                                            2004
                                                                            2005
                                                                            2006
                                                                            2007
                                                                            2008
                                                                            2009
                                                                            2010
                                                                            2011
                                                                            2012
                                                                            2013
                                                                            2014
                                                                            2015
                                                                            2016
                                                                         Q1 2017

      Brussels                                                                                                        levels continue their upward movement
                                                                            Brussels
         2000-2008        2009-2016         2017-2020                                                                 in the Periphery (in the Airport district)
                                                                                                                      to reach EUR 15.40/sq m./month. Recov-
LOCATION KEY FACTS AS OF Q1 2017                                                                                      ery will be led by speculative deliveries
                                            Office transaction      Prime rent                                        following strong consistent demand for
                            Office stock,             volume,            p. m.,        Prime yield,   Vacancy rate,
City                                sq m.             mn EUR        EUR/sq m.                    %               %    new spaces.
Brussels                     13,392,400                 137.6            18.75             4.65               9.00        2017 is set to be a pivotal year for
      Forecast 6 months                                                                                               Belgium. Political uncertainties in
                                                                                                                      Europe, increasing volatility and slightly
                                                                                                                      growing interest rates will contribute to
                                                                                                                      slightly decrease the attractiveness of the
                                                                                                                      investment market in the coming years.
                                                                                                                      As a result, investors will be more selec-
                                                                                                                      tive in their acquisitions, mainly focusing
                                                                                                                      on core assets. Conversely, activity is
                                                                                                                      forecast to decrease on the letting market
                                                                                                                      in 2017. Prime rents will globally remain
                                                                                                                      stable, though core locations will continue
                                                                                                                      to see slightly upward pressure on rents
                                                                                                                      due to limited supply.

                                                                                                                      CATELL A MARKET INDICATOR | EUROPE | SPRING 2017   17
Denmark

        Lack of prime office space in CBD
        TOTAL OFFICE STOCK IN PROPORTION                             the forecast horizon. Following several
        TO TOTAL VACANCY
                                                                     years of subdued price growth, inflation
                                                                     is expected to pick up in 2017 and 2018.
                                                                     The increase in inflation reflects increas-
                                                                     ing energy prices, higher capacity utilisa-
                                                                     tion and higher wage growth.
                                                                         Office investment volume in Co-
                                                                     penhagen reached EUR 288 million, a
                                                                     strong increase of 53% compared to the
                                Copenhagen                           first quarter of 2016. There is a strong
                                                                     focus on well-located properties in the
                                                                     harbour submarkets in Copenhagen and
                                                                     CBD. The high demand for prime office
                                                                     properties, together with the low supply,
                                                                     pressure the investors to seek in more
                                                                     peripheral areas around Copenhagen.
        ECONOMIC GROWTH in Denmark                                   We have seen a compression of the prime
        is gradually gaining pace. Real GDP                          yield level towards 4.00% over the first
        growth has reached 1.0% in 2016 and is                       quarter of 2017 and we expect to see the
        expected to accelerate to 1.5% in 2017                       prime office yield remain around this
        and 1.8% in 2018. Private consumption                        level, with a slight downside potential
        is forecast to remain the main growth                        during 2017. Compared to Q1 2016 prime
        driver with increasing contributions                         yield dropped by 28 basis points.
        from investment. Strong employment                               Companies are targeting modern
        growth, rising disposable incomes and                        leases in CBD and this has led to a slight
        low interest rates have stoked strong                        uplift in rents in CBD and some sur-
        domestic demand in recent years and                          rounding areas such as Ørestaden. Prime
        these factors will continue to support                       rent currently stands at EUR 21.25/               compared to 2016. This is due to a
        robust private consumption growth over                       sq m./month and remained unchanged                relatively high vacancy rate of 8.6% in
                                                                                                                       Copenhagen and declining amounts of
                                                                                                                       space recorded in CBD areas are offset
                                                                                                                       by development space in the periphery
        OFFICE TRANSACTION VOLUME                                    GROWTH RATES OF PRIME RENT                        with lower market rents. There is still a
        In EUR million                                               %                                                 high demand for prime office space in
        1,500                                                        15                                                the center of Copenhagen, but the supply
                                                                                                                       does not meet the demand. We expect
        1,200                                                        12
                                                                                                                       demand to continue to pick up momen-
         900
                                                                      9
                                                                                                                       tum, but the offer remains tense.

         600
                                                                      6

         300
                                                                      3
               0
                      2001
                      2002
                      2003
                      2004
                      2005
                      2006
                      2007
                      2008
                      2009
                      2010
                      2011
                      2012
                      2013
                      2014
                      2015
                      2016
                   Q1 2017

                                                                      0
                                                                          Copenhagen
                   Copenhagen
                                                                            2000-2008     2009-2016      2017-2020

        LOCATION KEY FACTS AS OF Q1 2017
                                                Office transaction        Prime rent
                                Office stock,             volume,              p. m.,   Prime yield,   Vacancy rate,
        City                            sq m.             mn EUR          EUR/sq m.               %               %

        Copenhagen                 9,611,900                288.0          21.25           4.00                8.60
           Forecast 6 months

18   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Finland

Opportunistic                                                                                                 TOTAL OFFICE STOCK IN PROPORTION
                                                                                                              TO TOTAL VACANCY

investments attract
FINLAND’S ECONOMY turned to                   fication between core and opportunistic
broad-based growth in 2016 by 1.0%.           properties.
The expansion is expected to continue in           The office yield in Helsinki CBD con-                                                      Oulu
2017 but at a somewhat lower pace due         tinued to decline and now stands at 4.5%.
to weak income growth which should            The yield requirement decreased most in
hold back domestic demand. Domes-             the city centre, in other key office areas
tic demand increased on the back of           the decline was less severe. In growth
strengthening private consumption and         centres, the yield levels have decreased                               Tampere
                                                                                                                                                      Lahti
construction investment.                      more moderately and partly remained
    Employment has started to increase        unchanged.                                                                                                Helsinki
and job creation should become more                                                                           Turku
                                                   In the near future, the transaction
robust, resulting in a lower unemploy-        volume is expected to remain at a high
ment rate. The GDP growth expansion           level. The trend is maintained by high
                                                                                                               GROWTH RATES OF PRIME RENT
is expected to continue in 2017 but at        foreign demand and the low level of
                                                                                                               %
a somewhat lower pace due to weak             return offered by alternative investment
                                                                                                               5.0
income growth which should hold back          instruments. The number of foreign
domestic demand. In 2018, growth is           players is expected to grow in the Finnish
                                                                                                               2.5
expected to pick up again as improved         market and the improving liquidity is
cost competitiveness boosts exports and       likely to further strengthen the favour-                         0.0
investment.                                   able development.
    The real estate transaction volume             In Helsinki’s city centre there is                         -2.5
last year exceeded the previous record        shortage of high-quality offices and, for
in Finland, and it seems like the market      these, users are willing to pay top rents.                      -5.0
will remain very active also in 2017. As      We have seen rents of up to EUR 40.00/                                   Helsinki (Metropolitan area)

in recent years, the majority of buyers       sq m./month for small premises in the                                       2000-2008        2009-2016            2017-2020

were domestic investors, while during         central business district. The CBD prime
the previous peak years, the growth in        rent is now EUR 33.00/sq m./month, an                           OFFICE TRANSACTION VOLUME

volume was largely a result of interna-       increase of 3% compared to Q1 2016. The                         In EUR million

tional investors operating at high levels     prime rent in the surrounding area rose                         1,500

of leverage. The Finnish office investment    as well, and is now EUR 24.50/sq m./
                                                                                                              1,200
market slowed down in the first quarter       month. In the Helsinki Metropolitan
of 2017 to EUR 285 million, a decrease of     Area, the amount of vacant office space                          900

27%. Similarly, office volume in Helsinki     is still high, with now 1.1 million square                       600
Metropolitan Area also declined by 22%        metres of empty office space. The vacancy
to EUR 247 million. In addition to exist-     rate is nearly 13%, mainly due to high                           300

ing players, many other foreign investors     supply of old office space.                                          0
                                                                                                                           2010

                                                                                                                           2016
                                                                                                                           2001
                                                                                                                           2002
                                                                                                                           2003
                                                                                                                           2004
                                                                                                                           2005
                                                                                                                           2006
                                                                                                                           2007
                                                                                                                           2008
                                                                                                                           2009

                                                                                                                           2011
                                                                                                                           2012
                                                                                                                           2013
                                                                                                                           2014
                                                                                                                           2015

                                                                                                                        Q1 2017

have been actively interested in the Finn-
ish property market and participated in                                                                                    Helsinki (Metropolitan area)
the bidding competitions, and the trend
is assumed to continue. The transaction
                                              LOCATION KEY FACTS AS OF Q1 2017
volume also revealed a shift towards a                                               Office transaction        Prime rent
more opportunistic investment strategy,                              Office stock,             volume,              p. m.,             Prime yield,           Vacancy rate,
                                              City                           sq m.             mn EUR          EUR/sq m.                         %                       %
which applied for both, portfolios and        Helsinki                 8,633,000                 247.0                                                               12.90
                                                                                                                   33.00                   4.50
individual properties. However, foreign       (Metropolitan area)

investors are still mainly interested in      Turku                      828,300                                   19.00                   7.25                       5.90

prime properties, and the scarce supply       Tampere                    886,000                                 20.00                     6.75                       5.40
of suitable assets continues to be a handi-   Oulu                       616,400                                 20.00                     7.50                       4.60
cap limiting new operators entering the       Lahti                      268,800                                   19.00                   7.50                       5.50
Finnish market. This also causes diversi-        Forecast 6 months

                                                                                                          CATELL A MARKET INDICATOR | EUROPE | SPRING 2017                    19
France

        Growing interest for value-add
        TOTAL OFFICE STOCK IN PROPORTION
                                                                                  GDP GROWTH DECLINED slightly to                             in the vicinity. Most of the investment
        TO TOTAL VACANCY
                                                                                  1.2% in 2016 from 1.3% in 2015, despite                     has therefore been “core”, even though
                                                                                  growth reaching 0.4% in the fourth                          the “value-added/opportunist” possibili-
                                                                                  quarter. Private consumption accelerated                    ties are also clearly there. Île-de-France
                             Paris                                                on the back of dynamic household pur-                       is the top destination for investors,
                                                                                  chasing power, while investment growth                      accounting for 86% of all office invest-
                                                                                  has been boosted by anticipation of the                     ments in Q1 2017, with a total volume
                                                                                  end of the over-amortisation scheme, a                      of EUR 2.14 billion. Q1 2017 has seen a
                                                                                  fiscal incentive for firms to invest. GDP                   moderate consolidation regarding yields,
                                           Lyon
                                                                                  growth is forecast to pick up to 1.4% in                    but it is likely that a slight drop will
                                                                                  2017 and 1.7% in 2018 under the usual                       occur in the second quarter, highlighting
                                                                                  no-policy-change assumption. Private                        the current massive imbalance between
                                                                                  consumption is expected to decelerate                       the volume of capital in the investment
                                                                                  in line with purchasing power, as the                       market and the reduced number of
                                                                                  tailwinds from lower oil prices fade                        products available. Office prime yield
        GROWTH RATES OF PRIME RENT
                                                                                  out. Also, the recovery in investment is                    currently stands at 3.0%, only a slight
        %
                                                                                  gaining momentum, particularly in the                       decrease of 15 basis points compared to
        25
                                                                                  construction sector. Despite continued                      the first quarter of 2016. Despite the
        20
                                                                                  global uncertainty, risks to the forecast                   rise in ten-year government bonds, the
        15                                                                        for France are less tilted to the downside                  property risk premium remains attrac-
        10                                                                        than in autumn. The improvement of                          tive because of its height. The real ques-
         5                                                                        labour market conditions could allow for                    tion remains the impact of the results of
         0                                                                        a more significant drop in the household                    the French presidential election on yields
         -5                                                                       saving rate on average and thus stronger                    for both types of investment.
        -10
                                                                                  private consumption.                                            The dynamism seen in 2016 has
                     Paris (Greater                Lyon                               The first quarter of 2017 has seen a                    continued through the beginning of
                    Paris Area – IDF)                                             duplication of French office investments,                   2017 in the Île-de-France office market.
                 2000-2008           2009-2016          2017-2020                 totaling to EUR 2.5 billion. This is a                      With 664,000 sq m. having been com-
                                                                                  further positive sign of the continued                      mercialized, Q1 2017 has seen the best
        OFFICE TRANSACTION VOLUME                                                 dynamism of the market, although this                       first-quarter performance in a decade.
        In EUR million                                                            performance is very much related to                         This 27% increase compared to the
        25,000                                                                    postponements from the end of 2016                          first quarter of 2016 is due to a rise in
        20,000
                                                                                  to the beginning of 2017 regarding                          the number of large transactions, in
                                                                                  finalization of deals. The market remains                   particular to the 86,000 sq m. “mega
        15,000                                                                    focused on the most developed business                      transaction” in the Tours Duo, leased
        10,000
                                                                                  districts, particularly those promising                     by Natixis. The overall vacancy rate in
                                                                                  potential rental value growth in the                        the Île-de-France region has remained
         5,000                                                                    medium term. Higher values would be                         stable at 6.3%. Paris continues to post
                                                                                  due either to supply shortages for new or                   a vacancy rate of 3.4%, still below the
                0
                       2001
                       2002
                       2003
                       2004
                       2005
                       2006
                       2007
                       2008
                       2009
                       2010
                       2011
                       2012
                       2013
                       2014
                       2015
                       2016
                    Q1 2017

                                                                                  good quality buildings, or by the arrival                   average over the last ten years. But one
                                                                                  of better public transport connectivity                     should also consider the high volume of
                        Paris (Greater Paris Area – IDF)
                        Lyon                                                      (notably the Grand Paris Express project)                   completion of buildings that will occur
                                                                                                                                              over 2017, which could have an impact
                                                                                                                                              on Paris supply volumes. Prime rents
                                                                                                                                              for new buildings have increased in the
        LOCATION KEY FACTS AS OF Q1 2017                                        Source: MBE Conseil/Catella Property France                   Paris CBD to EUR 63.50/sq m./month.
                                        Office stock,
                                                           Office transaction
                                                                     volume,
                                                                                        Prime rent
                                                                                             p. m.,       Prime yield,        Vacancy rate,
                                                                                                                                              Prime rent will mainly remain stable
        City                                    sq m.                mn EUR             EUR/sq m.                   %                    %    during the year, but areas with very tight
        Paris (IDF)                       52,238,800                 2,145.0              63.50               3.00                    6.30    supply have started to see sustained
        Lyon                                5,175,130                   72.9              19.20               4.50                    7.00    upward pressure on rents.
              Forecast 6 months

20   CATELL A MARKET INDICATOR | EUROPE | SPRING 2017
Germany

Investment volume sets                                                                                                   TOTAL OFFICE STOCK IN PROPORTION
                                                                                                                         TO TOTAL VACANCY

new record                                                                                                                       Hamburg

GERMANY’S ECONOMIC GROWTH                                       The German commercial property                                                         Berlin
strengthened further in 2016. Gross                             investment market got off to a strong
domestic product increased by 1.9%                              start in the first quarter of 2017 and was
                                                                                                                                 Dusseldorf
after 1.7% in 2015. Private consumption                         able to maintain its rapid pace of growth.
                                                                                                                                 Cologne
continued to increase at 2.0%. Public                           The transaction volume in the first three
consumption and investment rose mark-                           months amounted to a total of EUR 12.5
                                                                                                                                           Frankfurt
edly, due largely but not exclusively                           billion and represents an increase of
to expenditure for refugees. Private                            almost 59% compared to the first quarter
investment growth was primarily driven                          of 2016. This is the best first quarter ever                             Stuttgart
by housing investment. Employment is                            recorded on the German commercial
expected to continue increasing but at a                        investment market. There was an unusu-                                                 Munich
slower pace as the labour market is close                       ally high number of deals between EUR
to full employment. With energy prices                          50 million and EUR 100 million.
rising again, real household consumption                            Acquisitions in German Top 7 mar-
is forecast to slow down somewhat, but                          kets represent 41% of total investment
to remain relatively strong thanks to the                       volume in Germany in Q1 2017 com-                        level more owners are now willing to sell,
continued rise in employment and wages.                         pared to 51% in 2016. The office sector                  given the strong conditions and good
    Overall, real GDP is expected to                            remains by far the most sought after asset               prospects offered by the occupier mar-
increase by 1.6% in 2017, slowed down by                        with a share of 40% on the total German                  kets investors are willing to contemplate
fewer working days, and 1.8% in 2018.                           market and 50% share on German Top                       a higher degree of risk. Prime yields
                                                                7 markets. Given the current high price                  compressed once again to now 3.46%
                                                                                                                         with further compression expected due
                                                                                                                         to strong demand and low bond yields.
GROWTH RATES OF PRIME RENT                                      OFFICE TRANSACTION VOLUME
                                                                                                                         The strong focus of investors and users
%                                                               In EUR million
                                                                                                                         on central modern office properties in
 35                                                             8,000                                                    prime locations will further intensify
 30                                                             7,000                                                    competition and lead to a corresponding
 25
 20                                                             6,000                                                    price dynamic and sustained pressure on
 15
 10
                                                                5,000                                                    property yields. This development will
  5                                                             4,000                                                    bring diversification effects to B- and
  0
 -5                                                             3,000                                                    C-category locations, without compro-
-10                                                             2,000
-15
                                                                                                                         mising on the quality of the properties.
-20                                                             1,000                                                        Demand for modern office space
-25                                                                 0
-30                                                                                                                      remains strong across all major office
                                                                           2013

                                                                           2015
                                                                           2016
                                                                           2001
                                                                           2002
                                                                           2003
                                                                           2004
                                                                           2005
                                                                           2006
                                                                           2007
                                                                           2008
                                                                           2009
                                                                           2010
                                                                           2011
                                                                           2012

                                                                           2014

                                                                        Q1 2017

       Berlin     Dusseldorf    Hamburg   Stuttgart                                                                      markets. The shortage of large modern
             Cologne     Frankfurt    Munich                              Berlin        Cologne      Dusseldorf          office spaces in central office locations
         2000-2008        2009-2016         2017-2020                     Frankfurt     Hamburg      Munich
                                                                          Stuttgart                                      is forcing occupiers to consider non-
                                                                                                                         central locations for new lettings. This is
LOCATION KEY FACTS AS OF Q1 2017                                                                                         particularly evident in Frankfurt, Ham-
                                           Office transaction      Prime rent                                            burg and Munich, where a significant
                           Office stock,             volume,            p. m.,        Prime yield,    Vacancy rate,
City                               sq m.             mn EUR        EUR/sq m.                    %                %       proportion of take-up was registered.
Berlin                       17,821,700                 717.0        28.50                3.10                2.70       The supply/demand imbalance is exert-
Cologne                       5,964,190                280.0         22.00                3.85                6.60       ing upward pressure on prime rents and
Dusseldorf                    7,577,590                152.0         26.50                3.80                    7.70   increases have already taken place in
Frankfurt                    10,311,190                429.0         38.00                3.60               10.60       Berlin, Frankfurt and Munich in Q1,
Hamburg                      11,745,940                143.0         26.00                3.25                6.20       with further growth likely in 2017. The
Munich                      13,770,910                 836.0         36.50                3.10                3.50       already very low vacancy rates in most
Stuttgart                     6,032,610                 50.0         23.00                3.50                3.40       of the markets will decline further in the
      Forecast 6 months                                                                                                  coming quarters.

                                                                                                                         CATELL A MARKET INDICATOR | EUROPE | SPRING 2017   21
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