February 2021 APAC Market Structure Monthly - Virtu Financial

 
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February 2021
APAC Market Structure Monthly

Average Daily Turnover (Notional USD)
                                                                                     Country Group
                                                                                        Developed Markets
                                                                                        Developing Markets

                                                             KOR   JPN
                                                            33.7B 33.0B
                                         CHN
                                        267.2B
                                 IND                    TWN
                                12.2B               HKG 15.5B
                                          THA      53.8B
                                          5.8B

                                            SGP
                                            1.0B

                                                                 AUS
                                                                 6.1B

                                                                              NZL
© 2021 Mapbox © OpenStreetMap                                                 0.2B

Country Breakdowns

Hong Kong                                                       Taiwan
China                                                           India
Japan                                                           Thailand

Australia                                                       New Zealand
South Korea                                                     Singapore
February 2021
Hong Kong
Market Structure News
Trading Tax Increases From 0.10% to 0.13%                                                Hang Seng Index Enhancements Announced
On 24 February, the Hong Kong Stock Exchange (HKSE)
                                                 (HKEX) announced a                      After the close on 1 March 2021, the Hang Seng Indexes Company
stamp duty increase on stock transactions from 10bps to 13bps, effective on              announced consultation conclusions on proposed enhancements to the
1 August 2021.                                                                           HSI. According to the index provider, changes will be implemented starting
                                                                                         with the May 2021 index rebalance. The results and conclusions are:
The announcement sparked a sell-off on the HKEX with the Hang Seng                       *   Enlargement in market coverage
Index (HSI) closing 3% lower that day and a new historical high turnover of                  • Initial target: reach 80 constituents by mid-2022
HK$353B (US$45.5B), up by 51% compared to the YTD average daily
turnover (ADT). Namely, HSI constituents turnover peaked at HK$152B
                                                                                             • End goal: fix at 100 constituents
(US$19.6B), up by 59.5% from the YTD ADT. By EOD 25 February, HKSE
total turnover closed at HK$257B (US$30.6B), returning to YTD average                    *   Expansion in industrial representation
level.                                                                                       • Constituents selection by seven industry groups
                                                                                             • Combination of the industry groups to be reviewed every two years
The funds raised from the increased trading tax are expected to help bolster
government revenues for the city’s 2021 budget plan. According to the                        •   Effective from the May 2021 Index Review
source, “the government forecasts the measure will bring in HK$12 billion
(US$1.5B) in revenue during its first year of operation”.                                *   Prompt inclusion of new listings
Based on Virtu’s analysis for explicit trading costs in dollar terms:                        • Shorten the listing history requirement to three months
                                                                                             • Effective from the May 2021 index review
• With a YTD ADT of HK$237B (US$30.5B), an increase of 3bps in stamp
duty (both buys and sells) would suggest an increase of HK$140M                          *  Representation of Hong Kong companies to remain intact
(US$18M) in explicit trading cost on a daily basis, or HK$58M (U$7.5M) for
HSI’s YTD ADT.                                                                               •Maintain 20 to 25 constituents that are classified as Hong Kong
                                                                                         companies in the HSI

• HSI index constituents are valued at an YTD average market cap of                         • Number of Hong Kong constituents to be evaluated every two years
HK$28.8T (US$3.7T), the 3bps increase in stamp duty (both buys and sells)
would suggest explicit trading costs could increase by HK$17B (US$2.2B)                  *   Enrichment in constituent weighting distribution
for the index to turn over once.
When implemented, the total market charge of HKEX trading would                          *   Apply 8% weighting cap on all constituents
increase from 10.77 bps to 13.77 bps for both buys and sells - comprising of                 • Adopt the same for the Hang Seng China Enterprises Index (HSCEI)
the 13 bps stamp duty, a 0.5 bps trading fee, and a 0.27bps transaction
levy–proportional to notional value executed. (Note: per print, or transaction
                                                                                             • Effective from the Index Rebalancing in June 2021
                                                                                         https://www.hkex.com.hk/News/News-Release/2020/201201news?sc_lang=en
count, a few other charges also apply.)

https://www.hkex.com.hk/Services/Rules-and-Forms-and-Fees/Fees/Securities-(Hong-         New Initiatives Announced to Promote Capital Market
Kong)/Trading/Transaction?sc_lang=en.                                                    On 24 February 2021, in the 2021-2022 Budget speech, Hong Kong
https://www.bloomberg.com/news/articles/2021-02-24/hkex-plunges-most-since-2015-after-   Financial Secretary Paul Chan proposed a series of measures to further
deleted-stamp-duty-report
                                                                                         enhance Hong Kong’s role as an international financial center. To
                                                                                         summarize, key themes and messages include:
HKEX Invests in Guangzhou Futures Exchange
On 5 February 2021, HKEX announced its investment of RMB210M                             • Promoting the development of Green and Sustainable Finance, with
(US$27M) in exchange for a 7% stake in the newly-established Guangzhou                   consolidated Green and Sustainable Finance Grant Scheme for subsidy
Futures Exchange (GFE).                                                                  arrangement planned

According to the source, this is "the first-ever equity investment in a
                                                                                         • Promoting further development of the bond market. The government
                                                                                         will raise the borrowing limit of its bond program from HKD200B (US$25.8B)
domestic futures exchange by a non-Mainland Chinese investor. This
                                                                                         to HKD300B (US$38.7B) to allow more room for issuances and increased
investment underscores HKEX’s commitment to supporting the further
internationalization of China’s and the region’s financial markets." In                  retail participation
addition, HKEX noted in this context that "China Anchored" has been one of               • Provide subsidies covering up to 70% (capped by HKD8M (US$1.03M))
the three pillars of its strategic plan.                                                 of listing expenses for Real Estate Investment Trusts (REITs)
                                                                                         • Securities market: the government will seek to expand the capacity of
According to the China Securities Regulatory Commission (CSRC) notice                    Stock Connect, and progressively include ETFs and other types of assets
on 22 January 2021, the establishment of GFE was greenlighted by State                   as well as expand the scope of eligible securities. HKEX will accelerate its
Council of China and is responsible for real economy and green                           preparatory work for the launch of MSCI China A-Index Futures contracts.
development.
                                                                                         • Asset and wealth management: subsidies covering up to 70% of
                                                                                         expenses (subject to a cap of HKD1M (US$129K) per OFC) will be provided
Currently, there are five futures exchanges operating in China, including                for three years to local professional service providers to either set up
China Financial Futures Exchange, Shanghai International Energy
                                                                                         Open-ended Fund Companies or re-domicile to Hong Kong. The
Exchange, Shanghai Futures Exchange, Zhengzhou Commodity Exchange
                                                                                         government will also introduce tax concessions for carried interest issued by
and Dalian Commodity Exchange. When established, GFE is expected to
                                                                                         private equity funds operating in Hong Kong. The tax concession
be the sixth futures exchange in mainland China.
https://www.hkex.com.hk/News/News-Release/2021/2102052news?sc_lang=en
                                                                                         arrangements are expected to start applying from 2020-21.
http://www.csrc.gov.cn/pub/newsite/zjhxwfb/xwdd/202101/t20210122_391115.html
                                                                                         Full HK 2021-22 budget speech:
                                                                                         https://www.budget.gov.hk/2021/eng/pdf/e_budget_speech_2021-22.pdf
Hong Kong
Average Daily Turnover (Notional USD)
           Jan           Feb     Mar     Apr         May         Jun     Jul   Aug     Sep         Oct         Nov     Dec

                                                                                                                             2018
                                                                                                                             2019
40.0B                                                                                                                        2020
                                                                                                                             2021

20.0B

 0.0B

                                                                                                                             >=300%
Trade Size Distribution by Market Cap and %ADT (Notional USD)
                                                                                                                             200-300%
        1500M                                                                                                                100-200%
                                                                                                                             50-100%
                                                                                                                             25-50%
        1000M                                                                                                                10-25%
Large                                                                                                                        5-10%

         500M

           0M
        1500M

        1000M

Mid

         500M

           0M
        1500M

        1000M

Small

         500M

            0M
                   Feb

                           Mar

                                 Apr

                                       May

                                               Jun

                                                           Jul

                                                                   Aug

                                                                         Sep

                                                                               Oct

                                                                                     Nov

                                                                                             Dec

                                                                                                         Jan

                                                                                                                 Feb

                                                                                                                       Mar

Source data: Virtu Financial

                                                                                                                                        Page 2
Hong Kong
Market Microstructure Observations
· Monthly T/O recorded at US$53.8B, slightly down 1% MoM but up 80%+ YoY
· Compared to 2020 averages, intraday volume from 10am to noon was higher but lower in the closing hour of the day
· Compared to YTD averages, February intraday volatility was higher during the first half of the day, eventually converging together after 2pm

Volume Curve                                                                          Intraday Spread (bps)
                        10 00
                        10 15
                        10 30
                        10 45
                        11 00
                        11 15
                        11 30
                        11 45

                                                  13 00
                                                  13 15
                                                  13 30
                                                  13 45
                                                  14 00
                                                  14 15
                                                  14 30
                                                  14 45
                                                  15 00
                                                  15 15
                                                  15 30
                                                  15 45
                                                  close
                        9 30
                        9 45

                                                                                       15

                 0.10
                                                                                       10
% day's volume

                                                                                        5
                 0.05

                                                                                        0

                 0.00                                                                           10 AM     11 AM   12 PM     1 PM     2 PM       3 PM     4 PM

Intraday Quotesize (Shares)                                                           Intraday Volatility (bps)
100K

                                                                                       20

50K
                                                                                       10

      0K                                                                                0

                        10 AM   11 AM     12 PM   1 PM       2 PM     3 PM    4 PM              10 AM     11 AM   12 PM     1 PM     2 PM       3 PM     4 PM

                                                                       2020                   February 2021

Spread Bps
                                              20 Q3                                              20 Q4                                  21 Q1
                                   Jul 20         Aug 20            Sep 20           Oct 20          Nov 20        Dec 20          Jan 21              Feb 21
firstHalfHour                       17.6            16.7              17.0            17.3             16.8          16.2            16.9                16.6
midday                              13.9            13.5              13.3            13.3             13.0          12.9            13.4                13.0
lastHalfHour                        13.4            12.8              12.9            13.0             12.6          12.7            12.5                12.1

One Minute Volatility Bps
firstHalfHour                        15.9             13.6            11.7             11.6              13.6        12.1            17.6                16.8
midday                                  7.2            7.3             6.6              6.4               6.8         6.0              8.1                8.8
lastHalfHour                            9.2            6.4             6.8              6.8               7.3         6.7              6.9                6.9

Quotesize in Shares
firstHalfHour                     30,895          29,501            29,248           29,429          35,285        28,860          29,369              28,259
midday                            50,675          54,851            52,922           59,646          67,190        59,993          52,420              49,671
lastHalfHour                      85,097          88,503            86,562           92,522        112,401         93,657          80,787              82,321

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                       Page 3
February 2021
China
Market Structure News
Scale of China's Public Offering Funds Hits Record High                             Futures Market Saw Record Turnover in 2020
According to the source, the data published by the Asset Management                 According to industrial data from China’s Futures Association, the 2020 YoY
Association of China (AMAC) shows that by year end 2020, the scale of               notional turnover in China's futures market increased by 50.56% to
China's public offering funds (POFs) hit a new record high, with the total          RMB437.5T (US$67.9T) and total traded volume increased by 55.29% to
asset under management reaching RMB19.89T (US$3.08T). According to                  6.15B lots.
the data, these POFs are operated by 132 fund management companies, of              The source noted, that from a global perspective, the aggregated futures
which 88 are domestic firms and the rest are joint ventures.                        trading volume in Chinese futures markets accounted for 13.2% of global
The source notes that China's asset management industry has grown "at a             total in 2020 and 1.7% higher YoY. Among the five domestic Chinese
slower pace in recent years" as tighter de-risk regulations impact wealth           futures exchanges, the Shanghai Futures Exchange ranked highest in
management products, such as the guidelines requiring all financial                 transacted contracts (notional terms), accounting for 34.92% of the total
institutions to set leverage ceilings across asset management products in           turnover onshore last year.
2017.                                                                               http://www.xinhuanet.com/english/2021-02/13/c_139741536.htm
http://www.xinhuanet.com/english/2021-01/31/c_139710486.htm

                                                                                    FTSE Russell to add Shanghai STAR Market stocks
SSE STAR Market Securities Eligible for Inclusion in                                On 19 February 2021, FTSE Russell announced that it will add 11 stocks
MSCI china indexes                                                                  from the Shanghai STAR Market to its global benchmarks, FTSE GEIS,
To recap a previous edition of our Monthly Market Structure Newsletter, the         effective 22 March 2021. FTSE Russell confirmed that it will include eligible
Shanghai Stock Exchange (SSE) and HKEX announced the inclusion of                   Science and Technology Innovation Board securities (SSE’s STAR Market)
eligible A-shares listed on SSE’s Sci-Tech Innovation Board (STAR Market)           onto its FTSE GEIS and FTSE China A Share Indexes.
into Stock Connect with an effective trade date of 1 February 2021.
                                                                                    The STAR50 Index is comprised of 50 of largest full market capitalization
According to the MSCI notification dated 29 January 2021, the STAR Market           stocks listed on the SSE’s STAR Market. The STAR50 index has a
securities will be eligible for inclusion in the MSCI China Index and other         free-float market capitalization weighting and the weight of each stock is
related indexes starting in the May 2021 semiannual index review—provided           capped at 10%. The aggregate weight of the top five constituents shall not
that it meets all other relevant eligibility requirements.                          exceed 40%.
https://app2.msci.com/webapp/index_ann/DocGet?pub_key=dSruZcSVmjc%3D&lang=en&for-   https://mondovisione.com/media-and-resources/news/ftse-russell-to-add-shanghai-star-mar-
mat=html                                                                            ket-stocks-to-ftse-china-a-index-series-and/

Shenzhen Exchange Merges Main and SME Boards                                        STAR50 Index Rebalance Effective on March 15, 2021
On 10 February 2021, Shenzhen Stock Exchange (SZSE) announced that                  According to the source, there are five inclusions and five deletions in the
the CSRC has approved the merger between the Main and the Small and                 upcoming rebalance. There can be no more than five adds and deletes to
Medium-Enterprise (SME) Boards. After the merger, SZSE will operate with            the index in a single review. Five ETFs track this index, they are managed
two sectors, including the Main Board and the existing ChiNext Board, in            by China AMC, E Fund Management, Huatai-PineBridge Fund
pursuit of better efficiency.                                                       Management, ICBC Credit Suisse Asset Management, and KraneShares.
                                                                                    As at 26 February, assets under management for ETFs passively tracking
According to the exchange notice, SME Board-listed companies are                    the index was estimated to be ~US$4.5B. We have seen a steady inflow of
increasing their market value, performance and transaction characteristics          assets since its initial launch in September 2020, when it raised US$3.2B.
and becoming comparable to Main Board-listed companies. Furthermore,                http://www.sse.com.cn/market/sseindex/diclosure/c/c_20210226_5328101.shtml [Chinese
                                                                                    source]
the general operating framework and rules have been consistent between
the two boards.
                                                                                    NYSE To Commence Delisting Proceedings Against
From an industry preparation perspective, SZSE noted that "securities codes         CNOOC Limited
and securities abbreviations remain unchanged", which should have no                On 27 February 2021, NYSE announced the delisting of CNOOC Limited’s
effect on investor trading methods and habits. Also, there is no impact on          ADR shares (NYSE: CEO). Trading would be suspended starting on 9
fixed income, futures, and/or options products, or the Stock Connect                March 2021at 04:00 ET and 60 days after CNOOC was added to the
between SZSE and HKEX.                                                              restricted list.

However, relevant index classification, data classification, sector naming          This is a direct result of the implementation of US Executive Order (EO)
could be impacted and require adjustments. The exchange estimates that              issued on 12 November 2020 that restricts US investors from transacting in
the transition will take about two months to complete. It plans to organize         certain Chinese securities with alleged military ties. Between December
market-wide tests in due time, based on the technical preparation.                  2020 and January 2021, the list of affected companies and the EO’s
                                                                                    applicability was communicated via several FAQ updates from the US Office
http://www.szse.cn/English/about/news/szse/t2021hong 0210_584764.html               of Foreign Assets Control (OFAC) causing investors and index providers to
http://www.szse.cn/English/about/news/szse/t20210210_584765.html                    adjust and readjust their positions accordingly.
SZ SME board indices name change Chinese PDF:                                       CNOOC is also and primarily listed on HKEX (ticker 883.HK)—we continue
http://docs.static.szse.cn/www/disclosure/notice/W020210205764242591609.pdf
                                                                                    to see heightened stock activity which is driven, in part, by the EO liquidity
                                                                                    events.
                                                                                    https://home.treasury.gov/system/files/126/13959.pdf
                                                                                    https://home.treasury.gov/policy-issues/financial-sanctions/recent-actions/20201228
                                                                                    https://www.nyse.com/trader-update/history#110000341165

                                                                                                                                                                          Page 4
China
Average Daily Turnover (Notional USD)
                                    Jan          Feb          Mar        Apr         May         Jun        Jul         Aug         Sep         Oct     Nov        Dec
                   80.0B                                                                                                                                                      2018
                   60.0B                                                                                                                                                      2019
China:
Shanghai           40.0B                                                                                                                                                      2020
                   20.0B                                                                                                                                                      2021

                   80.0B
                   60.0B
China:
Shenzhen           40.0B
                   20.0B

                   80.0B
SH-HK              60.0B
Connect -          40.0B
Northbound
                   20.0B

           80.0B
SHENZHEN-
           60.0B
HKG STOCKC
ONNECT NO. 40.0B
.          20.0B

Trade Size Distribution by %ADT (Notional USD)
                                    China: Shanghai                                                                     China: Shenzhen
                                                                                                                                                                              >=300%
                                                                                                                                                                              200-300%
12B                                                                                                                                                                           100-200%
                                                                                                                                                                              50-100%
                                                                                                                                                                              25-50%
10B
                                                                                                                                                                              10-25%
                                                                                                                                                                              5-10%
8B

6B

4B

2B

0B
      Feb
            Mar
                  Apr
                        May
                              Jun
                                    Jul
                                          Aug
                                                Sep
                                                      Oct
                                                            Nov
                                                                  Dec
                                                                        Jan
                                                                              Feb
                                                                                    Mar
                                                                                          Feb
                                                                                                Mar
                                                                                                      Apr
                                                                                                            May
                                                                                                                  Jun
                                                                                                                        Jul
                                                                                                                              Aug
                                                                                                                                    Sep
                                                                                                                                          Oct
                                                                                                                                                Nov
                                                                                                                                                      Dec
                                                                                                                                                            Jan
                                                                                                                                                                  Feb
                                                                                                                                                                        Mar

Source data: Virtu Financial

                                                                                                                                                                                         Page 5
China
Market Microstructure Observations
· Shanghai, Shanghai-HK NB and Shenzhen-HK NB volumes were down 15.3%, 13.7%, 13.4% respectively MoM
· Compared with 2020 averages, intraday spreads were consistently lower in Shanghai but similar in Shenzhen
· Intraday volatility in Shanghai and Shenzhen were consistently higher than 2020 avg

Volume Curve                                                                    Intraday Spread (bps)
                                                                                                  China: Shanghai                    China: Shenzhen
                      10 00
                      10 15
                      10 30
                      10 45
                      11 00
                      11 15

                                                  13 00
                                                  13 15
                                                  13 30
                                                  13 45
                                                  14 00
                                                  14 15
                                                  14 30
                                                  14 45
                                                  close
                      9 30
                      9 45

                15%                                                               10
China:          10%
Shanghai
                 5%                                                                5
                15%
China:          10%                                                                0
Shenzhen
                 5%                                                                          11 AM          1 PM      3 PM       11 AM         1 PM         3 PM

Intraday Quotesize (Shares)                                                     Intraday Volatility (bps)
                China: Shanghai                      China: Shenzhen                              China: Shanghai                    China: Shenzhen
                                                                                  40

40K

                                                                                  20
20K

 0K                                                                                0
             11 AM          1 PM     3 PM         11 AM        1 PM     3 PM                 11 AM          1 PM      3 PM       11 AM         1 PM         3 PM

                                                                2020                     February 2021

Spread Bps
                                            China: Shanghai                                                         China: Shenzhen
                            20 Q3                     20 Q4               21 Q1                    20 Q3                     20 Q4                  21 Q1
                    Jul       Aug     Sep      Oct      Nov     Dec     Jan        Feb     Jul       Aug     Sep       Oct    Nov       Dec     Jan         Feb
firstHalfHour      12.3      11.9    11.2     10.9     11.3    10.6    10.6       10.8     9.4       8.5     8.3       7.8    8.3       8.3     9.3         9.3
midday             10.8      10.0    10.2     10.1     10.3     9.5      9.2       9.5     6.9        6.4     6.6      6.3     6.7       6.5       7.0       7.1
lastHalfHour       10.2       9.5     9.9      9.6      9.6     8.9      8.6       8.9     6.0        5.9     6.1      5.7     5.9       5.9       6.1       6.2

One Minute Volatility Bps
firstHalfHour       22.2      18.1   15.5     13.6      16.3   16.5     23.2      23.2     31.2      24.8    22.4     19.3    22.7      22.3   31.4         31.0
midday              11.5       8.5    7.1      5.9       7.4    8.0     11.6      11.4     15.2      11.8    10.9      9.6    11.2      11.0   15.0         14.7
lastHalfHour        10.1       7.3    6.7      5.7       6.6    7.5      9.7       9.6     12.2      10.0     9.8      8.3     8.8       9.0   12.0         12.2

Quotesize in Shares
firstHalfHour         37K     33K     26K      30K      31K     23K     19K       18K      10K         8K     7K        8K      8K       7K      7K          7K
midday                39K     38K     31K      33K      35K     26K     21K       20K      10K         9K     8K        9K      9K       8K      8K          7K
lastHalfHour          54K     50K     42K      44K      47K     36K     31K       29K      14K        12K    11K       12K     12K      12K     11K         10K

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                         Page 6
Japan
                                                                                                                                                   2018
Average Daily Turnover (Notional USD)
                                                                                                                                                   2019
            Jan           Feb          Mar         Apr    May        Jun          Jul         Aug     Sep       Oct         Nov       Dec          2020
                                                                                                                                                   2021
30.0B

20.0B

10.0B

 0.0B

Trade Size Distribution by Market Cap and %ADT (Notional USD)
                    6B

                    4B
Large
                    2B
                    0B

              1000M

Mid
                  500M

                   0M                                                                                                                              >=300%
                                                                                                                                                   200-300%
                  100M                                                                                                                             100-200%
Small                                                                                                                                              50-100%
                  50M                                                                                                                              25-50%
                                                                                                                                                   10-25%
                   0M
                                                                                                                                                   5-10%
                          Feb

                                 Mar

                                             Apr

                                                    May

                                                          Jun

                                                                   Jul

                                                                           Aug

                                                                                        Sep

                                                                                               Oct

                                                                                                     Nov

                                                                                                              Dec

                                                                                                                      Jan

                                                                                                                               Feb

                                                                                                                                       Mar
Market Structure News

New Anti-Money Laundering System Unveiled                                          Bank of Japan become Japan's largest stockholder
Effective 1 April, Japan’s Financial Service Agency will roll out a new            For the first time, the Bank of Japan (BOJ) has exceeded the Government
Anti-Money Laundering system that uses artificial intelligence to combat tax       Pension Investment Fund (GPIF) as the largest domestic stockholder.
evasion and identify fraudulent money transfers between exchanges, and             According to Nomura Securities estimates, BOJ held about US$442B in
national and regional banks. This system will monitor transaction data,            Japanese shares—exceeding GPIF’s holdings of US$415B.
account openings and money transfers to flag suspected illegal activity and
inform relevant financial institutions. Further details on operational             This milestone highlights the enormous scale of the BOJ's ETF buying
construction and expenses will be released after the new system undergoes          initiative—launched to rekindle inflation—with a target of 2%. According to
tests in March.                                                                    BOJ Governor Haruhiko Kuroda, the BOJ’s Nikkei ETF breakeven point
http://www.japanindnews.com/current-affairs/japans-fsa-plans-to-roll-              was set at 21K points on the Nikkei Stock Average.
out-anti-money-laundering-system-in-2021/
                                                                                   Although this benchmark has now exceeded the BOJ exposure by nearly
                                                                                   9K points, inflation remains far below the target. In light of this, the BOJ
                                                                                   now looks to adapt more flexible tactics and alternative buying options for
First Digital Stock Exchange Expected By 2022                                      their portfolio.
SBI Holdings and Sumitomo Mitsui Financial Group are expected to launch
the country's first digital stock exchange using blockchain technology in 2022.
It is scheduled to begin managing digital securities in 2023, allowing brokers     https://asia.nikkei.com/Business/Markets/BOJ-tops-pension-whale-
to sell securities in smaller units and at a faster rate.                          as-Japan-s-largest-stockhold-
                                                                                   er#:~:text=TOKYO%20%2D%2D%20The%20Bank%20of,equi-
https://internationalfinance.com/japan-launch-digital-stock-exchange/
                                                                                   ties%20for%20the%20first%20time.
Source data: Virtu Financial

                                                                                                                                                       Page 7
Japan
Market Microstructure Observations
· Volumes were up 7% from December to US$33.0B and up 25% YoY
· Intraday volume was more skewed towards the first half of day, representing 51% of total day volume (48% is the 2020 average)
· One Minute Volatility was at its lowest and quotesize was at its highest since April 2020

Volume Curve                                                                     Intraday Spread (bps)
                                                                                  40
       10 00
       10 15
       10 30
       10 45
       11 00
       11 15

                                           12 30
                                           12 45
                                           13 00
                                           13 15
                                           13 30
                                           13 45
                                           14 00
                                           14 15
                                           14 30
                                           14 45
                                           close
       open
        9 00
        9 15
        9 30
        9 45

                                                                                  30

                                                                                  20
10%
                                                                                  10

 5%                                                                                0

 0%                                                                                      9 AM      10 AM       11 AM      12 PM    1 PM         2 PM    3 PM

Intraday Quotesize (Shares)                                                      Intraday Volatility (bps)
                                                                                  30

  2K
                                                                                  20

  1K
                                                                                  10

  0K                                                                               0

       9 AM      10 AM       11 AM      12 PM         1 PM     2 PM      3 PM            9 AM      10 AM       11 AM      12 PM    1 PM         2 PM    3 PM

                                                                  2020                     February 2021

Spread Bps
                                      20 Q3                                                     20 Q4                                   21 Q1
                          Jul 20          Aug 20             Sep 20             Oct 20             Nov 20          Dec 20          Jan 21              Feb 21
firstHalfHour              30.5             30.9               29.5              29.7                32.0            29.6            29.3                33.1
midday                     24.2             23.3               23.0              23.2                24.1            23.2            22.9                24.6
lastHalfHour               23.2             22.6               22.2              22.1                23.4            21.9            21.7                22.6

One Minute Volatility Bps
firstHalfHour               19.0              18.8             15.2               16.1                  18.8            14.9         15.1               15.7
midday                       8.3                7.5             6.6                6.8                   7.8             6.6           6.8               6.5
lastHalfHour                 7.3                7.1             6.5                7.0                   7.3             6.9           7.3               6.7

Quotesize in Shares
firstHalfHour             1,009               990             1,091             1,089                   988            1,146        1,202              1,248
midday                    1,673             1,754             1,896             1,940               1,774              2,092        2,260              2,167
lastHalfHour              2,195             2,435             2,468             2,548               2,214              2,693        2,814              2,559

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                       Page 8
Australia
Average Daily Turnover (Notional USD)
            Jan            Feb           Mar       Apr        May         Jun       Jul       Aug        Sep       Oct         Nov     Dec
                                                                                                                                                    2018
 6.0B                                                                                                                                               2019

 4.0B                                                                                                                                               2020
                                                                                                                                                    2021
 2.0B

Venue Market Share (Notional USD)
100%

                                 85.1%     84.5%     84.4%          84.4%       85.0%      84.1%     83.6%      84.1%      83.2%      82.3%         ASX
         87.5%      87.4%
 50%                                                                                                                                                CHI-X

  0%     12.5%      12.6%        14.9%     15.5%     15.6%          15.6%       15.0%      15.9%     16.4%      15.9%      16.8%      17.7%

        Mar 20      Apr 20     May 20      Jun 20        Jul 20   Aug 20        Sep 20     Oct 20   Nov 20     Dec 20      Jan 21     Feb 21

Trade Size Distribution by Market Cap and %ADT (Notional USD)
                                                                                                                                                    >=300%
               3B
                                                                                                                                                    200-300%
Large          2B
                                                                                                                                                    100-200%
               1B                                                                                                                                   50-100%
                                                                                                                                                    25-50%
               3B
                                                                                                                                                    10-25%
Mid            2B                                                                                                                                   5-10%
               1B

               3B

Small          2B
               1B

                     Feb       Mar       Apr   May         Jun      Jul     Aug      Sep      Oct     Nov      Dec       Jan    Feb     Mar

Market Structure News

Superannuation Funds to Face Greater Scrutiny                                             MSCI Builds Domestic Indexes in Australia
The Australian Prudential Regulatory Agency (APRA) plans to closely monitor               Lured both by the rise of Australia’s superannuation sector and its shift
the maturing superannuation industry throughout 2021. The superannuation                  towards environment, social and corporate ESG, MSCI has chosen
industry was heavily-disrupted in 2020 and warrants increased levels of                   Australia—only the second share market in the world—to build a set of
scrutiny in areas of policy and supervision. Speaking at the February ASFA                domestic indexes. The global index provider released over fifty domestic
Conference, APRA Deputy Chair Helen Rowell, remarked that “[APRA]                         indexes in early February after liaising with several superannuation funds,
intends to intensify our focus on areas of the superannuation industry…where              ETF providers and fund managers. The indexes are grouped by market
it is clear there is more work to do – governance, underperformance, and                  capitalization, factor, theme and ESG.
member’s best interests”. The superannuation industry has grown significantly
in recent years and the level of governance will continue to increase.
                                                                                          https://www.afr.com/chanticleer/super-s-green-push-lures-msci-
                                                                                          20210208-p570lv
https://www.regulationasia.com/australian-super-funds-to-face-greater-
scrutiny-in-2021-apra/
https://www.apra.gov.au/news-and-publications/apra-deputy-chair-helen-
rowell-speech-to-asfa-conference ..

Source data: Virtu Financial

                                                                                                                                                             Page 9
Australia
Market Microstructure Observations
· Chi-X venue market share represented 17.7% of the market, the highest since April 2019
· Volume in the closing auction slightly decreased slightly to 15% of total day volume (17% is the 2020 average)
· Intraday spreads, volatility and quotesize all traced below 2020 averages

Volume Curve                                                                    Intraday Spread (bps)
      10 00
      10 15
      10 30
      10 45
      11 00
      11 15
      11 30
      11 45
      12 00
      12 15
      12 30
      12 45
      13 00
      13 15
      13 30
      13 45
      14 00
      14 15
      14 30
      14 45
      15 00
      15 15
      15 30
      15 45
                                                                                 20

      close
      open

15%                                                                              10

10%
                                                                                  0
 5%
 0%                                                                                     10 AM   11 AM       12 PM       1 PM       2 PM         3 PM    4 PM

Intraday Quotesize (Shares)                                                     Intraday Volatility (bps)

10K                                                                              30

                                                                                 20
 5K

                                                                                 10

 0K                                                                               0
      10 AM     11 AM       12 PM       1 PM         2 PM      3 PM     4 PM            10 AM   11 AM       12 PM       1 PM       2 PM         3 PM    4 PM

                                                              2020                    February 2021

Spread Bps
                                      20 Q3                                                 20 Q4                                       21 Q1
                          Jul 20          Aug 20            Sep 20             Oct 20           Nov 20           Dec 20            Jan 21              Feb 21
firstHalfHour              21.9             20.8              20.8              19.9              19.5             18.7              19.8                20.2
midday                     16.8             16.5              16.9              15.2              16.0             15.3              15.0                15.5
lastHalfHour               17.5             17.2              17.8              16.8              16.7             15.7              15.0                15.5

One Minute Volatility Bps
firstHalfHour               22.9              22.6             21.5              17.7               18.4             15.2            14.4               16.6
midday                       5.9               5.5              5.5               5.0                5.1              4.3              4.1               4.6
lastHalfHour                 5.1               4.3              5.3               4.4                4.3              3.7              3.7               3.4

Quotesize in Shares
firstHalfHour             3,002             3,135             3,551             3,258            3,208              2,917           2,583              2,326
midday                    5,034             6,228             6,892             6,767            7,424              6,268           5,358              4,931
lastHalfHour             11,468            13,092           14,938             15,112           15,132           13,233            11,014              9,734

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                   Page 10
South Korea
                                                                                                                                           2018
Average Daily Turnover (Notional USD)
                                                                                                                                           2019
           Jan           Feb         Mar      Apr       May       Jun          Jul         Aug         Sep         Oct     Nov    Dec      2020
                                                                                                                                           2021

30.0B

20.0B

10.0B

 0.0B

Trade Size Distribution by %ADT (Notional USD)

                                                                                                                                           >=300%

   3B                                                                                                                                      200-300%
                                                                                                                                           100-200%
                                                                                                                                           50-100%
                                                                                                                                           25-50%
   2B
                                                                                                                                           10-25%
                                                                                                                                           5-10%

   1B

   0B
          Feb

                   Mar

                               Apr

                                     May

                                              Jun

                                                       Jul

                                                                 Aug

                                                                         Sep

                                                                                     Oct

                                                                                                 Nov

                                                                                                             Dec

                                                                                                                     Jan

                                                                                                                            Feb

                                                                                                                                  Mar
Market Structure News
FSC Korea to Allow Partial Resumption of Short-selling                          KRX BBIG K-New Deal Indices Have First Rebalancing
in May                                                                          The Korea Exchange conducted the first rebalance of five KRX K-New Deal
On 3 February, South Korea’s Financial Services Commission (FSC)                Indices, including the KRX BBIG K-New Deal Index, on 26 February 2021.
announced an extension to the short-selling ban until 2 May 2021 and a          Launched on 7 September 2020, four of indices feature leading companies
partial resumption of short-selling starting 3 May on KOSPI 200 and             that correspond to their respective namesake verticals: secondary battery,
KOSDAQ 150 Index stocks. By May, new rules will be in place to guard            bio, internet and gaming—also collectively referred to as BBIG indices.
against illegal short-selling and increase retail investor access to
short-selling opportunities.                                                    A total of nine companies are subject to the rebalance: one in the KRX
                                                                                BBIG K-New Deal and two in each of the four BBIG indices. Seven
Imposed in March 2020, initially for six months, the short-selling ban was      KOSDAQ-listed companies are to be added to the index family while six are
subsequently extended and set to expire on 15 March 2021. The FSC               being removed. Kakao Games will be added to two indices.
commented in November that it would lift the ban as scheduled, but it has
since come under pressure to keep it in place.                                  h ps://global.krx.co.kr/contents/GLB/02/0203/0203000000/GLB0203000000.js
The FSC believes that the on 3 May partial resumption of short-selling is       p#ab8758eced0475769e200e7e309baf77=1&view=20592
expected to have a limited impact on markets and stock prices, as KOSPI
200 and KOSDAQ 150 Index-listed stocks have large market caps and
liquidity. The short-selling ban will remain in place for more than two
thousand stocks for the time being.

h ps://www.regula onasia.com/fsc-korea-to-allow-par al-resump on-of-
short-selling-in-may/

Source data: Virtu Financial

                                                                                                                                                  Page 11
South Korea
Market Microstructure Observations
· Turnover at US$37.9B was down 11% MoM but up 150% YoY
· Volume curve remains heavily skewed towards the morning with 25% of the day’s volume executing in the first 30 minutes of the day
· Intraday volatility and spreads traced below 2020 averages

Volume Curve                                                                    Intraday Spread (bps)
                                                                                 20
       10 00
       10 15
       10 30
       10 45
       11 00
       11 15
       11 30
       11 45
       12 00
       12 15
       12 30
       12 45
       13 00
       13 15
       13 30
       13 45
       14 00
       14 15
       14 30
       14 45
       15 00
       15 15
       close
        9 00
        9 15
        9 30
        9 45

10%                                                                              10

 5%                                                                               0

 0%                                                                                     9 AM      10 AM       11 AM     12 PM   1 PM      2 PM     3 PM

Intraday Quotesize (Shares)                                                     Intraday Volatility (bps)
                                                                                 30

  2K

                                                                                 20

  1K
                                                                                 10

  0K                                                                              0
       9 AM     10 AM      11 AM     12 PM      1 PM      2 PM        3 PM              9 AM      10 AM       11 AM     12 PM   1 PM      2 PM     3 PM

                                                            2020                   February 2021

Spread Bps
                                      20 Q3                                                    20 Q4                                     21 Q1
                          Jul 20          Aug 20            Sep 20            Oct 20              Nov 20              Dec 20       Jan 21           Feb 21
firstHalfHour              18.8             18.3              18.1             17.9                 17.6                17.4         18.0             17.3
midday                     17.6             16.8              17.0             17.0                 16.3                15.4         15.9             15.6
lastHalfHour               17.6             16.8              17.1             17.1                 16.3                15.6         15.8             15.6

One Minute Volatility Bps
firstHalfHour               16.1              19.3             16.8              15.2                  15.6             13.9           20.9          18.0
midday                      10.9              12.0             11.0              11.0                  10.8             10.6           11.4          11.1
lastHalfHour                13.8              15.1             13.3              14.2                  15.3             14.3           11.4          11.4

Quotesize in Shares
firstHalfHour             1,305              1,359            1,196            1,069               1,368              1,607         1,353           1,139
midday                    2,439              2,353            2,254            2,043               2,618              3,044         2,399           1,994
lastHalfHour              2,771              2,918            2,670            2,400               3,099              3,574         2,928           2,457

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                   Page 12
Taiwan
Average Daily Turnover (Notional USD)
            Jan            Feb         Mar         Apr       May        Jun         Jul         Aug       Sep        Oct         Nov        Dec
15.0B                                                                                                                                                     2018
                                                                                                                                                          2019

10.0B                                                                                                                                                     2020
                                                                                                                                                          2021

 5.0B

 0.0B

Trade Size Distribution by Market Cap and %ADT (Notional USD)
               2000M
               1500M
Large          1000M
                  500M                                                                                                                                    >=300%
                                                                                                                                                          200-300%
                                                                                                                                                          100-200%
               1500M
                                                                                                                                                          50-100%
Mid            1000M
                                                                                                                                                          25-50%
                  500M
                                                                                                                                                          10-25%
               2000M                                                                                                                                      5-10%
               1500M
Small          1000M
                  500M
                                    Mar

                                                                                                                                             Mar
                                                                                                          Nov
                                                                              Aug

                                                                                          Sep

                                                                                                                   Dec
                            Feb

                                             Apr

                                                     M..

                                                              Jun

                                                                       Jul

                                                                                                 Oct

                                                                                                                           Jan

                                                                                                                                    Feb

Market Structure News

Revenues of All Listed Companies Rose by 24.25% YoY                                             Taiwan Punishes Deutsche Bank In Currency
On 17 February, Taiwan Stock Exchange (TWSE) announced that 946 listed                          Speculation Case
companies have completed their revenue filings (excluding TWSE: 6452). The                      The Taiwan dollar is at a peak high against USD—and for the first
summary shows that the total revenue of listed companies in January 2021 was                    time in more than 23 years. The island’s trade-dependent boom has
NT$3.673T (US$130B), which is NT$598.8B (US$21B), or 24.25%, higher than
                                                                                                been fueled by a rise in global demand for tech products due to
the total revenue in January 2020. A total of 755 companies experienced revenue
                                                                                                work-from-home measures.
growth, while 191 companies experienced a decline.
https://www.twse.com.tw/en/news/newsDetail/ff8080817751e57d0177b339ce8500a8
                                                                                                The Taiwan central bank has been particularly concerned about a
                                                                                                case which claimed that foreign banks helped grain companies
Taiwan's Weight in MSCI Index Unchanged in 1Q21                                                 engage in currency speculation through deliverable forwards which
MSCI conducts regular index reviews every February, May, August and                             affected the stability of Taiwan’s foreign exchange market.
November, and publishes the results and effective date on its website. The
announcement and effective dates for Q1 2021 results are 9 February and 1
March and Q2’s are scheduled for 11 and 28 May (dates in Central European                       On 7 February, Taiwan central bank confirmed that as part of its
                                                                                                crackdown on speculation, it had banned Deutsche Bank from trading
Time Zone, UTC+1).
                                                                                                Taiwan dollar deliverable and non-deliverable forwards and a
                                                                                                imposed a two-year suspension on trading FX derivatives.
Per the MSCI Q1 index review announcement on 9 February, Taiwan's market                        The source also reported that the Taiwan central bank also sent
capitalization has increased by 0.14%. Taiwan's weight in the MSCI All Country                  letters outlining sanctions to Citigroup Inc, ING and Australia and New
World Index (MSCI ACWI) remains unchanged, and weights in the MSCI
                                                                                                Zealand Banking Group Ltd (ANZ) for their involvement.
Emerging Markets (MSCI EM) and the MSCI AC Asia ex-Japan, have declined by                      https://www.reuters.com/article/us-taiwan-forex-idUSKBN2A705J
0.10 and 0.11% respectively. The weights, after adjustment, become 1.83%,
13.27% and 14.91%, respectively.
https://www.twse.com.tw/en/news/newsDetail/ff8080817751e57d01778a8377df0073

Source data: Virtu Financial

                                                                                                                                                                     Page 13
Taiwan
Market Microstructure Observations
· Turnover at US$15B was up 3% MoM at US$15.5B
· Intraday spread levels match closely with the 2020 averages
· Quotesize throughout the second half of day traced above 2020 averages

Volume Curve                                                                                                                                                                       Intraday Spread (bps)
                                                          10 00
                                                                  10 15
                                                                          10 30
                                                                                  10 45
                                                                                          11 00
                                                                                                  11 15
                                                                                                          11 30
                                                                                                                  11 45
                                                                                                                          12 00
                                                                                                                                  12 15
                                                                                                                                          12 30
                                                                                                                                                  12 45
                                                                                                                                                          13 00
                                                                                                                                                                  13 15
                                                                                                                                                                          close
                       open

                                                                                                                                                                                                        30
                              9 00
                                     9 15
                                            9 30
                                                   9 45

                                                                                                                                                                                    median spread bps
15%                                                                                                                                                                                                     20

10%                                                                                                                                                                                                     10

 5%                                                                                                                                                                                                     0

 0%                                                                                                                                                                                                          9 AM            10 AM      11 AM    12 PM      1 PM

Intraday Quotesize (Shares)                                                                                                                                                        Intraday Volatility (bps)
median quotesize bps

                       20K                                                                                                                                                          median vlty bps
                                                                                                                                                                                                        20

                       10K                                                                                                                                                                              10

                       0K                                                                                                                                                                               0

                                9 AM                       10 AM                           11 AM                           12 PM                           1 PM                                              9 AM            10 AM      11 AM    12 PM      1 PM

                                                                                                                                                  2020                                                   February 2021

Spread Bps
                                                                                          20 Q3                                                                                                               20 Q4                                 21 Q1
                                                             Jul 20                                Aug 20                                 Sep 20                                  Oct 20                            Nov 20           Dec 20     Jan 21       Feb 21
firstHalfHour                                                 29.4                                   29.4                                   31.0                                   29.0                               28.0             27.8       28.5         28.3
midday                                                        24.4                                   24.6                                   25.7                                   24.7                               23.8             24.0       24.0         23.3
lastHalfHour                                                  24.2                                   24.0                                   25.1                                   24.9                               23.4             23.6       24.1         23.1

One Minute Volatility Bps
firstHalfHour                                                     14.5                                    15.4                                    15.4                               12.6                             12.4             13.7       15.5        15.7
midday                                                              6.9                                     7.4                                    7.4                                      6.6                        6.3              6.8        7.2         6.8
lastHalfHour                                                        7.5                                     9.2                                   10.2                               10.3                             11.0             11.3        7.7         8.4

Quotesize in Shares
firstHalfHour                                              12,340                                  12,131                                  12,498                                 13,333                            14,756           14,647     12,798      12,216
midday                                                     20,536                                  21,179                                  21,893                                 24,798                            26,988           25,017     20,042      21,454
lastHalfHour                                               21,248                                  21,921                                  22,480                                 23,059                            27,157           25,049     20,321      22,767

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                                                                                                                            Page 14
India
                                                                                                                                                                        2018
Average Daily Turnover (Notional USD)
                                                                                                                                                                        2019
             Jan               Feb         Mar         Apr           May          Jun          Jul         Aug        Sep         Oct         Nov        Dec            2020
                                                                                                                                                                        2021
10.0B

 5.0B

 0.0B

Venue Market Share (Notional USD)
100%                                                                                                                                                                    BSE
                                                                                                                                                                        NSE

 50%     93.5%          95.4%        95.2%      94.2%        94.5%         93.3%        94.8%         95.4%       95.2%        93.5%       93.5%       93.5%

  0%
           Mar           Apr         May         Jun           Jul          Aug         Sep             Oct         Nov         Dec           Jan        Feb

Trade Size Distribution by Market Cap and %ADT (Notional USD)
                                                                                                                                                                        >=300%
                   6B                                                                                                                                                   200-300%
                  4B                                                                                                                                                    100-200%
Large
                                                                                                                                                                        50-100%
                  2B
                                                                                                                                                                        25-50%
                  0B
                                                                                                                                                                        10-25%
              300M                                                                                                                                                      5-10%
Mid           200M
              100M

              200M

Small         100M

                 0M
                         Feb         Mar     Apr       May       Jun        Jul     Aug         Sep        Oct      Nov       Dec       Jan      Feb      Mar

Market Structure News

NSE Trading Halt Due to Glitch                                                                       RBI Governor Says There Was Room For An ARC
On 24 February, the National Stock Exchange (NSE) halted trading in its cash                         Funded By Banks
and derivatives segments for over three hours. The exchange cited technical                          On 25 February, the Reserve Bank of India Governor Shaktikanta Das,
issues with its telecom service providers as the cause for the freeze of live                        commented that there was room for a strongly-funded national asset
price feeds. The outage was discovered within the first hour of trading and                          reconstruction company (ARC)and that the public sector banks
affected multiple vendors and participants. It has been recorded as the worst                        themselves had proposed creating a new national ARC that would
NSE outage to date.                                                                                  purchase a specific stressed assets from banks and resolve them in a
                                                                                                     timely manner—and without jeopardy to existing ARC activities. Mr. Das
https://www.business-standard.com/article/markets/sebi-finmin-seek-detailed-report-from-nse-
                                                                                                     also brought up new topics to be discussed post-COVID.
as-trading-halts-due-to-glitch-121022401328_1.html

                                                                                                     https://www.bloombergquint.com/economy-finance/rbi-governor-says-there-was-room-for-
                                                                                                     an-arc-funded-by-banks

Source data: Virtu Financial

                                                                                                                                                                                Page 15
India
Market Microstructure Observations
· Monthly turnover at US$10.6B was up 18% MoM and 93% YoY
· Volume curve remains heavily skewed towards the morning with 20% of the day’s volume executing in the first hour of the day
· One minute volatility rose to its highest since Q2 2020 while quotesize continued to fall since July 2020

Volume Curve                                                                    Intraday Spread (bps)
                                                                                  4
       10 00
       10 15
       10 30
       10 45
       11 00
       11 15
       11 30
       11 45
       12 00
       12 15
       12 30
       12 45
       13 00
       13 15
       13 30
       13 45
       14 00
       14 15
       14 30
       14 45
       15 00
       15 15
       close
       open
       9 15
       9 30
       9 45

                                                                                  3
10%
                                                                                  2

                                                                                  1
 5%
                                                                                  0

 0%                                                                                   9 AM    10 AM         11 AM    12 PM    1 PM       2 PM      3 PM

Intraday Quotesize (Shares)                                                     Intraday Volatility (bps)

1000                                                                             20

500                                                                              10

   0                                                                              0

       9 AM     10 AM    11 AM      12 PM      1 PM       2 PM         3 PM           9 AM    10 AM         11 AM    12 PM    1 PM       2 PM      3 PM

                                                               2020                     February 2021

Spread Bps
                                      20 Q3                                                  20 Q4                                      21 Q1
                          Jul 20          Aug 20            Sep 20            Oct 20            Nov 20              Dec 20         Jan 21           Feb 21
firstHalfHour                3.5             3.3               3.6               3.4               3.4                 3.2            3.1              3.2
midday                       3.0             2.8               3.0               3.0               2.7                 2.7            2.7              2.6
lastHalfHour                 2.8             2.7               2.9               2.7               2.6                 2.5            2.5              2.6

One Minute Volatility Bps
firstHalfHour               17.2              15.5             19.1              16.9                16.6             15.6            17.3           19.8
midday                       7.6               6.4               8.4              7.4                 7.3              6.4             7.8            8.8
lastHalfHour                 9.7               8.8             11.7               9.5                 9.4              9.1            10.1           11.0

Quotesize in Shares
firstHalfHour             1,089             1,039                877             860                 814              789             684             626
midday                    1,238             1,119                960             947                 892              876             781             757
lastHalfHour              1,449             1,427             1,246            1,157             1,220              1,239            1,080          1,041

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                   Page 16
Thailand
                                                                                                                                      2018
Average Daily Turnover (Notional USD)
                                                                                                                                      2019
            Jan          Feb         Mar       Apr       May        Jun        Jul       Aug         Sep         Oct     Nov    Dec   2020
6.0B                                                                                                                                  2021

4.0B

2.0B

0.0B

Trade Size Distribution by %ADT (Notional USD)
                                                                                                                                      >=300%
                                                                                                                                      200-300%
1000M
                                                                                                                                      100-200%
                                                                                                                                      50-100%
  900M
                                                                                                                                      25-50%
                                                                                                                                      10-25%
  800M
                                                                                                                                      5-10%

  700M

  600M

  500M

  400M

  300M

  200M

  100M

       0M
             Feb

                      Mar

                               Apr

                                        May

                                                 Jun

                                                          Jul

                                                                   Aug

                                                                             Sep

                                                                                      Oct

                                                                                               Nov

                                                                                                           Dec

                                                                                                                   Jan

                                                                                                                          Feb

                                                                                                                                Mar

 Market Structure News
 Recovery Objective Highlighted in New Strategic Plan
 On 11 February, Thailand’s Securities and Exchange Commission (SEC) announced its 2021-2023 Strategic Plan. The goals,
 among other things, include changes to the regulatory framework and international connectivity both aimed at enhancing
 competitiveness and creating opportunity.

 https://www.sec.or.th/EN/Pages/News_Detail.aspx?SECID=8789&NewsNo=29&NewsYear=2021&Lang=EN

Source data: Virtu Financial

                                                                                                                                                 Page 17
Thailand
Market Microstructure Observations
· Intraday volatility after lunchbreak at 2:15pm was 50bps higher than 2020 averages
· Volume curve remains heavily skewed towards the morning with 18% of the day’s volume executing in the first 30 minutes of the day
· Quotesize throughout the continuous trading session were at their highest since Q3 2020

Volume Curve                                                                    Intraday Spread (bps)
                                                                                 60
       10 00
       10 15
       10 30
       10 45
       11 00
       11 15
       11 30
       11 45
       12 00
       12 15
       14 15
       14 30
       14 45
       15 00
       15 15
       15 30
       15 45
       16 00
       16 15
       close
       open
        9 45

                                                                                 40

10%
                                                                                 20

 5%
                                                                                  0

 0%                                                                                    10 AM   11 AM       12 PM     1 PM      2 PM       3 PM      4 PM

Intraday Quotesize (Shares)                                                     Intraday Volatility (bps)
                                                                               200

400K

                                                                               100
200K

  0K                                                                              0
       10 AM    11 AM      12 PM      1 PM      2 PM      3 PM        4 PM             10 AM   11 AM       12 PM     1 PM      2 PM       3 PM      4 PM

                                                               2020                    February 2021

Spread Bps
                                      20 Q3                                                 20 Q4                                       21 Q1
                          Jul 20          Aug 20            Sep 20            Oct 20            Nov 20             Dec 20          Jan 21           Feb 21
firstHalfHour              63.2             62.7              64.5             66.0               64.9               60.3            59.5             61.8
midday                     62.8             62.1              63.7             65.5               64.3               59.7            58.8             61.3
lastHalfHour               62.9             62.5              64.6             66.0               64.5               60.3            59.5             61.5

One Minute Volatility Bps
firstHalfHour             177.5              200.0            203.2            182.9                48.1             43.7           163.6            249.4
midday                    180.5              185.2            191.7            186.6             169.5             163.1            229.8            231.9
lastHalfHour

Quotesize in Shares
firstHalfHour           322,489          295,460           262,933           249,775           304,860          281,362          329,239           333,863
midday                  494,657          479,032           441,342           410,387           519,714          469,149          511,597           531,652
lastHalfHour            502,118          498,373           431,692           423,223           502,252          486,137          524,220           541,490

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                   Page 18
New Zealand
                                                                                                                                        2018
Average Daily Turnover (Notional USD)
                                                                                                                                        2019
          Jan            Feb         Mar     Apr       May       Jun           Jul         Aug         Sep         Oct     Nov    Dec   2020
                                                                                                                                        2021

0.1B

0.0B
                                                                                                                                        >=300%
                                                                                                                                        200-300%
Trade Size Distribution by Market Cap and %ADT (Notional USD)
                                                                                                                                        100-200%
                                                                                                                                        50-100%
                                                                                                                                        25-50%
                                                                                                                                        10-25%
100..                                                                                                                                   5-10%

800M

600M

400M

200M

  0M
          Feb

                   Mar

                               Apr

                                      May

                                              Jun

                                                       Jul

                                                                Aug

                                                                         Sep

                                                                                     Oct

                                                                                                 Nov

                                                                                                             Dec

                                                                                                                     Jan

                                                                                                                            Feb

                                                                                                                                  Mar

 Market Structure News

 NZX to focus on tech for 2021
 Following a tough year for the NZX, which saw at least two separate outages, the NZX plans to increase their spend on tech to avoid
 similar issues occurring in future. After reporting strong earnings for FY 2020, the NZX “acknowledged the issues that have affected
 its technology platforms and market participants in 2020 and recognised the need for further investment in technology to enhance
 platform stability and resilience, and deliver other improvements, confirming additional spend on people and systems in 2021”.

 http://nzx-prod-s7fsd7f98s.s3-website-ap-southeast-2.amazonaws.com/attachments/NZX/367687/340454.pdf

Source data: Virtu Financial

                                                                                                                                                Page 19
New Zealand
Market Microstructure Observations
· Volume continues to be skewed towards the second half of the day with the last hour of trading representing 15.8% of full day volume
· Intraday spreads traced above 2020 averages while intraday volatility and quotesize traced below

Volume Curve                                                                    Intraday Spread (bps)
                                                                                 40
      10 00
      10 15
      10 30
      10 45
      11 00
      11 15
      11 30
      11 45
      12 00
      12 15
      12 30
      12 45
      13 00
      13 15
      13 30
      13 45
      14 00
      14 15
      14 30
      14 45
      15 00
      15 15
      15 30
      15 45
      16 00
      16 15
      16 30
      close
      open

                                                                                 30

6%                                                                               20

4%                                                                               10

2%                                                                                0

0%                                                                                             11 AM                1 PM                3 PM

Intraday Quotesize (Shares)                                                     Intraday Volatility (bps)
 6K
                                                                                 30

 4K
                                                                                 20

 2K                                                                              10

 0K                                                                               0
                11 AM               1 PM                3 PM                                   11 AM                1 PM                3 PM

                                                                2020                    February 2021

Spread Bps
                                      20 Q3                                                 20 Q4                                       21 Q1
                          Jul 20           Aug 20           Sep 20            Oct 20           Nov 20            Dec 20            Jan 21           Feb 21
firstHalfHour              32.4              29.9             29.1             33.0              31.6              30.9              33.6             32.4
midday                     17.5              16.9             18.3             20.2              20.4              21.4              22.0             22.2
lastHalfHour               18.3              17.3             19.2             19.0              19.3              18.4              22.0             22.2

One Minute Volatility Bps
firstHalfHour                8.4               6.8               8.3              7.2               6.8              8.2               6.0            7.4
midday                       4.7               4.2               4.1              3.4               3.7              3.5               3.7            3.6
lastHalfHour                 4.5               3.8               3.0              3.8               3.5              4.4               4.7            4.4

Quotesize in Shares
firstHalfHour             3,585             3,668              2,707           3,225             3,302             3,465            2,934           2,863
midday                    4,238             4,456              3,922           4,023             4,341             4,878            4,261           4,306
lastHalfHour              4,882             5,193              5,462           4,548             5,448             6,196            5,198           5,319

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                   Page 20
Singapore
                                                                                                                                                                  Year of Date
Average Daily Turnover (Notional USD)                                                                                                                                2018
            Jan             Feb          Mar         Apr        May         Jun              Jul         Aug         Sep        Oct          Nov        Dec            2019
1.5B                                                                                                                                                                   2020
                                                                                                                                                                       2021
1.0B

0.5B

0.0B

Trade Size Distribution by Market Cap and %ADT (Notional USD)

                  400M                                                                                                                                                 >=300%
                                                                                                                                                                       200-300%
Large                                                                                                                                                                  100-200%
                  200M                                                                                                                                                 50-100%
                                                                                                                                                                       25-50%
                    0M                                                                                                                                                 10-25%
                                                                                                                                                                       5-10%
                  400M

Mid
                  200M

                    0M

                  400M

Small
                  200M

                    0M
                             Feb

                                      Mar

                                               Apr

                                                        May

                                                                 Jun

                                                                           Jul

                                                                                       Aug

                                                                                                   Sep

                                                                                                           Oct

                                                                                                                     Nov

                                                                                                                              Dec

                                                                                                                                       Jan

                                                                                                                                                Feb

                                                                                                                                                          Mar

 Market Structure News
 MAS Proposes Revisions to Requirements for Insurers                                                Singapore’s Enhanced Personal Data Protection Act
 The Monetary Authority of Singapore (MAS) has proposed to improve the                              Takes Effect
 current prerequisites identifying with big business hazard management,                             Singapore's new Personal Data Protection Act (PDPA) took effect on 1
 investment hazard management and public disclosure practices for                                   February 2021 and granted organizations a wider ability to use consumer
 insurers. The adjustments focus on aligning MAS' rules and guidelines with                         personal data while also increasing responsibility for data breaches.
 refreshed insurance core principles. The goal is to strengthen insurance risk                      Singapore’s Personal Data Protection Commission commented that “the
 management practices, by incorporating:                                                            amendments will strengthen organizational accountability and consumer
                                                                                                    protection while giving organizations the confidence to harness personal
 • Improvement to liquidity hazards by maintaining a portfolio of                                   data for innovation”. See the link below for more details.
 unencumbered liquid assets and liquidity contingency plan
 • Stress-test processes                                                                            https://www.regulationasia.com/singapore-enhanced-personal-data-protection-act-takes-ef-
 This is in a bid to help prevent insurance sector vulnerability from                               fect/
 developing into systemic risks.

 https://www.regulationasia.com/mas-proposes-revisions-to-requirements-for-insurers/

Source data: Virtu Financial

                                                                                                                                                                                    Page 21
Singapore
Market Microstructure Observations
· Volumes were down 10% MoM and YoY at US$1.0B
· Intraday spreads in February were back to pre-COVID levels at ~25bps
· Intraday volatility continued to fall though remains elevated versus Jan/Feb 2020 levels

Volume Curve                                                                    Intraday Spread (bps)
                                                                                 30
       10 00
       10 15
       10 30
       10 45
       11 00
       11 15
       11 30
       11 45

                                      12 45
                                      13 00
                                      13 15
                                      13 30
                                      13 45
                                      14 00
                                      14 15
                                      14 30
                                      14 45
                                      15 00
                                      15 15
                                      15 30
                                      15 45
                                      16 00
                                      16 15
                                      16 30
                                      16 45
                                      close
       open
        9 00
        9 15
        9 30
        9 45

                                                                                 20

 8%                                                                              10
 6%
 4%                                                                               0
 2%
                                                                                             10 AM            12 PM             2 PM               4 PM

Intraday Quotesize (Shares)                                                     Intraday Volatility (bps)

                                                                                 20
200K

                                                                                 10
100K

  0K                                                                              0
                10 AM          12 PM            2 PM             4 PM                        10 AM            12 PM             2 PM               4 PM

                                                              2020                    February 2021

Spread Bps
                                       20 Q3                                                20 Q4                                       21 Q1
                          Jul 20          Aug 20            Sep 20            Oct 20           Nov 20            Dec 20            Jan 21             Feb 21
firstHalfHour              28.2             27.6              28.6             28.0              25.5              25.0              23.4               24.7
midday                     29.1             28.7              29.5             28.4              25.3              24.7              24.4               25.3
lastHalfHour               28.9             28.6              29.3             28.2              25.4              24.5              24.3               24.0

One Minute Volatility Bps
firstHalfHour                7.2               7.3              5.4               5.8               8.7               6.6              7.1                7.7
midday                       5.8               5.1              4.9               5.2               5.3               6.0              5.4                5.7
lastHalfHour                 2.4               5.0              5.0               5.0               5.2               6.3              5.7                3.9

Quotesize in Shares
firstHalfHour            59,611            57,709           64,203            64,266            60,875           66,394            59,630            65,948
midday                  167,527          168,396           168,251          210,740           196,271           177,331          161,583            189,564
lastHalfHour            160,036          172,302           161,722          211,276           221,777           179,991          180,964            195,173

Median used for all metrics
One minute volatility is calculated using the difference between the high and low price within a one minute time bin, divided by that bin’s VWAP
Source data: Virtu Financial

                                                                                                                                                     Page 22
Glossary

Volume curve - average of value traded during the month, per 15-minute time bin.
Intraday volatility - Median of difference between the high and low price within a one minute time bin, divided by that bin’s
VWAP
Spread - median of bid-ask spread of the index.
Quotesize - Median bid and ask size of all stocks in the index.
Average daily turnover - average daily value traded in the market.

Indices used:

Australia: ASX 200
Japan: TOPIX
China: CSI 300
Hong Kong: Hang Seng Index
Taiwan: TWSE
India: NIFTY 50
Korea: MSCI Korea 25-50 Index
New Zealand: MSCI New Zealand IMI 25/50 Index
Singapore: MSCI Singapore Index
Thailand: MSCI Thailand IMI 25/5 Index

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                                                                                                                                                                      Page 23
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