COVID-19 India Perspective 2.0 - Boston Consulting Group
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Global Overview • COVID-19 outbreak continues to grow in many areas of the world, especially Europe and USA, with severe toll on health (37k reported deaths), health care systems, and economies • Short-term trajectory of outbreak across countries depends largely on what isolation measures are taken and how strictly they are enforced Executive • Global equity markets have reacted aggressively to virus' spread beyond China with S&P500 seeing fastest 30% fall in history; Stimulus package announced by US followed by India resulting in an uplift in Nifty last week summary Evolving situation in India (I/II) • COVID-19 cases in India have increased by 2.5x over last week to 1251, with majority of cases concentrated in 8 states • Central govt. announced a 21-day lockdown till 14 Apr'20 to contain the spread Copyright © 2020 by Boston Consulting Group. All rights reserved. Update as of • Rating agencies have scaled down their GDP growth estimates for India after the 30 March, 2020 announcement of lockdown; New GDP growth estimates ranging between 2.1% to 3.5% • India's economy has been turbulent in recent past & COVID-19's immediate impact expected to be felt across key parameters: – $180Bn annual imports & exports linked to high exposure countries – US, Europe, UK, Iran – 25% of total workforce of 496Mn in India are casual labor with high exposure to economic impacts of COVID-19; ~63Mn casual labor seeing a direct impact from lockdown 1 Continued…
Evolving situation in India (Continued) • Impact from lockdown varies across industries creating 5 key archetypes – Industries like Travel, Auto, Construction, Consumer Durables are seeing a downside whereas others like Digital Media, Consumer staples, Telecom are seeing an upside • Wave 1 results of COVID-19 Consumer sentiment research for India reveal the following: – Essentials, savings, health & wellness, at-home entertainment, and education most likely to witness an increase – Travel, outdoor leisure activities and discretionary spending likely to be hardest hit by a Executive planned reduction in spends summary • Analysis at a company level highlights that 200-300 of the top 1000 Public Indian Companies may face liquidity crunch under ~4% to ~16% annual revenue decline situation (II/II) • Speed to recovery for industries dependent on multiple drivers – Speeds of recovery from 2008 recession period can act as a starting point – In parallel, other demand & supply side drivers specific to COVID-19 situation need to be Copyright © 2020 by Boston Consulting Group. All rights reserved. monitored Update as of 30 March, 2020 Emerging Macro-scenarios • Indian economy has shown resilience with past crises, through V shaped recoveries • For USA, emerging views on COVID-19 indicates a GDP drawdown greater than 2008 • As leaders, need to monitor key indicators to look out for how the scenario develops in India: – Intensity: Virus properties, Mitigation policies & Healthcare effectiveness, Financial system liquidity & confidence levels – Geometry: Time to cure, Disease seasonality, Real economy capital & productivity shock,2 Impact on Global economy
Global overview Focus of this Evolving situation in India document Copyright © 2020 by Boston Consulting Group. All rights reserved. Emerging macro-scenarios 3
Global Overview 4 Copyright © 2020 by Boston Consulting Group. All rights reserved.
Data as of 30 Mar COVID-19: 781k cases confirmed across 178 countries US & Italy with highest no. of confirmed infections Countries/regions reported …As of Mar. 30, 178 of 195 countries/regions have been affected infections 178 UK Germany World India France Spain Iran USA Italy China Japan Total Switzerland South cases 781k 1251 India Korea Total Copyright © 2020 by Boston Consulting Group. All rights reserved. Cumulative confirmed deaths 37k 32 infections1 161,807 101,739 Fatality 87,956 82,198 rate (%) 4.8% 2.5% 66,885 44,550 41,495 22,141 15,922 9,661 1,866 1,251 Recovery USA Italy Spain China Germany France Iran UK SwitzerlandSouth Japan India rate (%) 21% 8.2% USA, Italy & Spain surpassed China in terms of confirmed cases Korea 1. No. of infections considered based on confirmed medical tests 1 – 1000 1001-10000 10000+ 5 Sources: Johns Hopkins CSSE; Ministry of Health & Family welfare; BCG analysis
Data as of 30 Mar Countries are being impacted differently across the globe in terms of cumulative cases and rate of growth Daily growth rate of total cases (5-day avg, %) 30 India Reported cases doubling every 3 days Canada Belgium US UK Portugal Growth rate 15 Brazil Rest of the world Spain Austria France Germany Reported cases doubling every 6 days Copyright © 2020 by Boston Consulting Group. All rights reserved. Sweden Iran Switzerland Italy Japan Norway Greater China South Korea 0 0 25,000 50,000 75,000 100,000 125,000 150,000 175,000 Cumulative #of confirmed cases Size Rest of World Europe North America India Source: Johns Hopkins CSSE, BCG analysis 6
Cases: Data as of 30 Mar Tests: Data as of 25 Mar Countries with low testing rates tend to report fewer cases Confirmed COVID-19 cases per million people Total # of tests performed2 per million people 10,000.0 1,000,000.00 Italy Spain Switzerland Italy 1,000.0 Germany France 10,000.00 Germany USA South Korea S. Korea UK USA 100.0 Spain France China Switzerland 100.00 Japan Japan 10.0 India Copyright © 2020 by Boston Consulting Group. All rights reserved. UK 1.00 Iran 1.0 India Iran 0.1 0.01 1,000 10,000 100,000 1,000,000 1,000 10,000 100,000 1,000,000 GDP per capita, PPP1 GDP per capita, PPP1 Europe Asia North America South America Africa Oceania 1.GDP per capita is expressed in PPP (current, international dollars) based on 2018 2. Data for Iran is as on 14 Mar; China for data is not available as on date 7 Source: World Bank, Worldometers.info, Johns Hopkins, Media reports
Government responses1 (As of 29 Mar) Major countries have recently made strong interventions to enforce social distancing Non-essential International Domestic Non-essential School Restricted business travel travel local mvmt. closure assembly closure restrictions restrictions2 restrictions China • USA continues to have Spain limited government imposed France restrictions on domestic travel Switzerland Italy Iran • Germany announced nation Copyright © 2020 by Boston Consulting Group. All rights reserved. Denmark wide coronavirus lockdown until April 20 Germany US South Korea • UK tightened it's social distancing & non essential Japan local movement norms UK levying penalties on breach India New interventions Continuing interventions post 20 Mar Note: includes nationwide actions and actions taken by major local or regional governments. 2 Some German + US rail services are being reduced but not through government mandate International travel restrictions flagged if any bans put in place or limits in place; Internal travel restriction includes reductions in public transport, or restricted access; Non-essential businesses include at least restaurants, entertainment venues; School closures are any mandatory state closures; Assembly restrictions include mandatory and advised restrictions on large groups, restrictions on e.g. faith based 8 gatherings; Non-essential local mvmt includes stated restrictions on being outside or curfews | Source: Government and media reports
Data as of 30 Mar Countries following similar exponential growth path until major interventions made Total cumulative number of confirmed cases (Log scale) 1,000,000 Lockdown measures seem to be Italy locked down on Average growth line 11/03 (12,462 cases) effective in slowing down outbreak USA China – COVID-19 spread in Greater Spain Italy Germany China now contained France Iran Hubei locked UK – Early signs of slowdown in down on 23/01 Switzerland 10,000 (444 cases) S. Korea Italy Learning from global peers, India Copyright © 2020 by Boston Consulting Group. All rights reserved. has made intervention at an earlier India Japan stage of outbreak South Korea managed to contain France locked down on 100 17/03 (7652 cases) outbreak without nation-wide lockdown by large-scale testing and India locked down on individual quarantines early on 22/03 (396 cases) 0 10 20 30 40 50 60 Number of days1 1. No. of days after exceeding 60 confirmed cases Source: Johns Hopkins CSSE, Government and media reports, BCG Henderson Institute analysis 9
Data as of 30 Mar Global equity markets have aggressively priced risks following spread to the world, with slight recovery in the last week Inflection with virus' spread to Markets looked past COVID-19's spread in China Europe, USA and beyond Cumulative returns (%) 5 0 Feb. 21 -5 -10 Japan (Nikkei 225) Copyright © 2020 by Boston Consulting Group. All rights reserved. -15 U.S. (S&P 500) -20 Korea (KOSPI) -25 UK (FTSE 100) -30 German (DAX) -35 India (Nifty 50) 21- 27- 3- 10- 17- 24- 2- 9- 16- 23- 30- Jan Jan Feb Feb Feb Feb Mar Mar Mar Mar Mar Stimulus package announced by US followed by India resulting in an uplift in Source: Bloomberg; BCG Center for Macroeconomics analysis Nifty last week 10
Data as of 30 Mar Global & Indian indices fell by ~35% in 6 weeks (till 23 Mar), showing a pick-up post that Major equity market drawdowns since 1980 2/19/20 – 3/30/20 0% S&P 500 drawdowns -10% COVID -20% 10/7/97 – 10/27/97 -30% 7/16/90 – 3/24/00 – 10/11/90 10/9/02 9/20/18- -40% 11/28/80 – 10/9/89 – 7/16/99 – 12/24/18 8/12/82 1/30/90 10/15/99 -50% 2/13/80 – 10/10/83 – 8/25/87 – 7/17/98 – 10/9/07 – 5/21/15 – 1/26/18 – 3/27/80 7/24/84 12/4/87 8/31/98 3/9/09 2/11/16 2/8/18 2/19/20 – 3/30/20 Sensex drawdowns 0% Copyright © 2020 by Boston Consulting Group. All rights reserved. -10% -20% COVID -30% -40% Correction line (-10%) 12/27/02 – 1/15/08 – 5/21/15 – -50% 3/31/03 3/31/09 2/12/16 Bear market line (-20%) • S&P 500 index fell 30% in 22 trading days from 19th Feb, making it the fastest fall from peak in history • Market has continued to decline due to COVID-19, at a much faster pace on both indexes than SARS (2002); it is comparable or even faster than 2008 recession Source: Bloomberg; BCG Center for Macroeconomics analysis 11
Early signs show China headed towards normalcy… 80% recovery of daily coal 50% recovery of property 40% recovery of metro work resumed3 consumption1 (by Mar 24) transaction (by Mar 24) passengers2 (by Mar 24) 90+% (by Mar 17) 65 4,520 70 2019 metro Traded area of buildings in top 30 cities 2019 Property 4,020 Sum of daily Metro passenger in 8 60 Daily coal consumption (10k tons) provinces 2019 Coal consumption 60 transactions 55 3,520 announced to 12 cities (10k person) 50 resume schools 50 3,020 in late Mar/early 45 40 2,520 Apr (by Mar 20) Copyright © 2020 by Boston Consulting Group. All rights reserved. 40 2,020 30 35 1,520 20 30 2020 coal 1,020 national attractions consumption 25 10 2020 Property 2020 reopened 25 transactions 520 metro (by Feb 20) 20 0 20 12 17 22 27 32 37 42 -18 -13 -8 -3 2 7 12 17 22 27 32 37 42 -18 -13 -8 -3 2 7 10 14 18 22 26 30 -18 -14 -10 -6 -2 2 6 Weekdays relative to Chinese New Year Weekdays relative to Chinese New Year Weekdays relative to Chinese New Year 1. Sum of Jerdin Electric, Guangdon Yudean Group, Datang International Power Generation, and Huaneng Power International, Inc. 2. Sum of Shanghai, Guangzhou, Chengdu, Nanjing, Xi'an, Suzhou, Zhengzhou, Chongqing 12 3. NDRC official statistics; Note: recovery defined as consumption of 2020 vs. 2019, based on the same weekdays relative to Chinese New Year; Source: WIND, NDRC
Evolving Situation in India 13 Copyright © 2020 by Boston Consulting Group. All rights reserved.
Data as of 30 Mar COVID-19 cases in India have increased by 2.5x over last week, with majority of cases concentrated in 8 states No. of COVID-19 cases in India have been on the rise 752 new cases added in India from last week; 2.5x Ladakh (13) Jammu and Total no. of incidents: 1251 32 deaths recorded till date 1,251 Kashmir (48) No. of deaths: 32 Himachal Pradesh (3) Punjab (38) Chandigarh (8) Uttarakhand (7) 1,024 Haryana Delhi (87) (36) Meghalaya 987 Uttar 887 Rajasthan Pradesh (59) (82) Bihar (15) Manipur (1) Copyright © 2020 by Boston Consulting Group. All rights reserved. Madhya Pradesh 657 660 4.4x (47) Chhattisgarh Mizoram (1) No of cases remained 536 Gujarat(69) (7) 499 Odisha West Bengal stagnant for a month Maharashtra (3) Very High : >=10% (198) (22) 2.3x 330 396 High : >=5%, 1%
Non exhaustive Data as of 30 Mar India announced total lockdown for 3 weeks entailing strict orders to be enforced Travel advisory Social distancing Testing & quarantine All transport services All educational and religious establishments to First and second suspended including air, remain closed coronavirus tests made free rail & roads, except All social, political, sports, cultural gatherings for all banned • Transportation for all Strict home/institutional medical personnel, All commercial and industrial establishments to be quarantine measures in nurses, para-medical closed down barring a few exceptions such as: place for people arrived staff, other hospital • Establishments into production, selling and from international support delivery of essential goods destinations Copyright © 2020 by Boston Consulting Group. All rights reserved. • Banks, insurance offices & ATMs, Capital & debt • Transportation for market services essential commodities • Power generation, transmission & distribution • Fire, law and order and services, etc. emergency services All government & semi- government offices to close down except ones dealing with national security, public utilities, disaster management, etc. Legal implications to be invoked in case of breach of prescribed norms Source: Ministry of health & family welfare, Press release; Ministry of Home Affairs, Media reports 15
Indian GDP forecasts revised downwards over the last one month GDP growth % (Y-on-Y) -3.9 -1.7 -1.7 -2.8 6.0 India GDP 5.2 5.2 5.3 3.5 3.5 growth forecast 2.5 2.1 for 2020 / FY21 Pre-lockdown forecasts1 S&P Global Ratings CRISIL Ltd. Moody’s Economist Post-lockdown forecasts2 Investor’s Service Intelligence Unit (EIU) GDP growth % Copyright © 2020 by Boston Consulting Group. All rights reserved. (Y-on-Y) -0.9 -3.1 World GDP -1.2 -3.6 3.3 3.4 growth forecast 2.4 2.5 2.5 1.3 for 2020 0.3 Pre-COVID3 -1.1 Post-COVID4 Deutsche Bank Fitch Ratings Morgan Stanley J.P. Morgan India: 1. Pre-lockdown forecasts were made during Feb 2020 / early March 2020; 2. Post-lockdown forecasts were made from 27th to 30th March 2020; Source: Reports from Moody's Investor Service, EIU, S&P Global Ratings, CRISIL Ltd., Press search World: 3. Pre-COVID forecasts were made during / before December 2019; 4. Post-COVID forecasts were made from 20th to 30th March 2020; Source: Reports from JP Morgan, Deutsche Bank, Fitch Ratings & Morgan Stanley, Press search 16
Data as of 30 Mar ~$180Bn annual imports & exports linked to high exposure countries Commodities trade only Assessment of intensity of COVID-19 impact Daily growth Non-essential No. of cases (% increase) local movement Imports value Exports value till date in cases restrictions Exposure level4 (Annual value1 in $Bn) (Annual value1 in $Bn) USA 161,807 19.7% 34.9 (7.2%) 54.0 (16.8%) European countries; 317,052 9.9% 40.7 (8.4%) 25.0 (7.7%) high COVID-19 exposure2 UK 22,141 18.4% 7.1 (1.5%) 8.9 (2.8%) Iran 41,495 9.0% 4.4 (0.9%) 4.6 (1.3%) Copyright © 2020 by Boston Consulting Group. All rights reserved. China 82,198 0.1% 68.4 (14.2%) 16.9 (5.3%) South Korea 9,661 1.1% 16.1 (3.3%) 4.8 (1.4%) Middle east (except Iran) 21,479 19.7% 109.2 (22.6%) 56.4 (17.4%) Others 62,113 12.5% 202.4 (41.9%) 152.4 (47.3%) Exposure level determination: Red = #cases > 20k, daily growth > 5%, with non-essential movement restrictions; Yellow = #cases > 20k, with non-essential movement restrictions 1. Value of Imports and Exports are for the period Jan-19 to Dec-19; the information pertains to commodity trade only and does not include services 2. European countries having COVID-19 exposure includes Italy, Spain, Germany, France, Switzerland 3. Non-essential local movement includes stated restrictions on being outside or curfews including school closure, international travel restrictions 17 Source: Johns Hopkins CSSE, Comtrade Jan-19 to Dec-19, Global Trade Impact of (COVID-19) epidemic-UNCTAD report, Government and media reports, Press search
Varied impact expected across categories of imports & exports, based on exposure to high risk countries Commodities trade only Major imports Major exports Annual value1 in $Bn) Annual value1 in $Bn) 155.1 61.6 50.3 44.3 20.7 16.8 14.7 119.6 483.0 44.2 35.9 21.9 21.2 21.2 18.4 16.1 144.6 323.7 8% 11% 17% 16% 16% 10% 0% 19% 18% 5% 29% 26% 29% 32% 27% 28% 25% 40% 16% 39% 46% 18% 19% 17% 14% 0% 57% 6% 39% 5% 0% 40% 9% 15% 10% 17% 11% 12% 16% 31% 23% 21% 27% 13% 6% 4% 8% 2% 0% 6% 10% 1% 66% 6% 70% 12% 55% 52% 52% 52% 58% 54% 44% 44% 44% 43% 44% 45% 48% 34% 33% 30% Copyright © 2020 by Boston Consulting Group. All rights reserved. Mineral Gems, Electrical Nuclear Organic Iron or Plastics Others Total Mineral Gems, Textiles Food Nuclear Organic Pharma- Others Total oils & precious machin- reactors chemicals steel & & oils & precious & products reactors chem- ceutical fuels metals ery and & parts articles articles fuels metals apparel & parts icals products equipment • India in top 15 economies affected due to supply chain • India’s largest export destinations—USA and EU are current epicenters disruption in China of COVID-19 • Impact on organic chemicals, gems & precious metals, nuclear reactors & • Impact seen across exports, but mainly on gems and precious metals, textiles parts & apparel, food products High exposure countries3 Medium exposure countries3 Low exposure countries3 Others3 1. Value of Imports and Exports are for the period Jan-19 to Dec-19; 2. The information pertains to commodity trade only and does not include services 3. High exposure countries – USA, UK, Italy, Spain, Germany, France, Switzerland, Iran; Medium exposure countries – China; Low exposure countries – South Korea, Middle East (except Iran) Source: Johns Hopkins CSSE, Comtrade Jan-19 to Dec-19, Global Trade Impact of (COVID-19) epidemic-UNCTAD report, Government and media reports, BCG analysis 18
25% of total workforce in India are casual labor with potential high exposure to economic impacts of COVID-19 Sector-wise workforce distribution (FY 19) No. of workers (Mn) Total 23% 38% 14% 25% 496 Agriculture 1% 48% 25% 26% 217 4% Govt. has initiated certain Services 75% 20% 2% 66 mitigation measures • Sectors not tagged as • Increased minimum wage Manufacturing 42% 35% 7% 16% 61 essential in the temporary rate by INR 20/day Trade, Hotel & shutdown 29% 53% 11% 7% 61 • GoI to pay 24% EPF Restaurants • ~63Mn casual labor seeing Copyright © 2020 by Boston Consulting Group. All rights reserved. contribution for next 3 Construction 6% 0% 84% 59 a direct impact due to mo. for eligible organized 10% 4% shutdown sector establishments Transport, storage & 47% 48% 1% 28 Communication • State Govts. to use Electricity & 78% 14% 6% 3 welfare fund for Water supply 2% 2% construction laborers Mining & Quarrying 49% 6% 43% 2 Regular wage/salary Own account worker, employer Helper in household enterprise Casual labor 1. Other services include financial & insurance, real estate, professional, scientific, technical, administrative & support, education, human health, social work, arts, entertainment & recreation, other service activities, activities of households as employers; Source: Oxford economics estimates of employment FY19, Periodic Labor Force Survey; (PLFS) Jul-17 to Jun-18, Press search 19
Data as of 30 Mar Industries are seeing varied impact in short-term amidst restrictions 5 key archetypes emerge Supply side restrictions 1 1 1 Restricted Partially Restricted Not Restricted (Non-essential products/ (Depending if product/service is (Essential products/services or not affected by COVID-19 takedown efforts) services or affected by essential or work from home is COVID-19 takedown efforts) possible) Impact of Downside Downside Downside Limited Upsides Essentials may see upside, however Declining due to overall Business as usual but Shift to online consumption, restrictions as a whole declining due to overall decline in economic activity may see some labor, higher demand due to hoarding (During the decline in economic activity logistics issues of essentials shutdown) • Travel & Tourism • Transportation & Logistics • Energy & Utilities • Agriculture • Media (Digital) • Auto & Components2 • Metals & Mining • Oil & Gas • Education (Online) Copyright © 2020 by Boston Consulting Group. All rights reserved. • Building Materials • Machinery • Financials • Consumer-Staples • Education (Offline) • Aerospace & Defense • Insurance • Food/Drug Retail • Construction/Infra • Chemicals • Pharmaceuticals • Consumer Durables • IT, Technology & Services3 • Health Services • Consumer- • Media (Traditional) • Telecom Discretionary • Forest products & Packaging • Fashion & Luxury • Other Retail 20 1. Source for restrictions during the shutdown: MoHA Order 40-3/2020-DM-I(A) dated 24th March '20 2. Auto & Auto Components sector may shift to supply of ventilators; 3. HR Services, Security, Specialized Consumer Services, Software Services, Communications Equipment, Electronics, IT/IT Services, Tech Hardware
India—Wave 1—March 23-26 Consumer sentiment survey: Essentials, savings, health & wellness, at-home entertainment, and education most likely to witness an increase Distribution of survey responses (%) Change in spends in next six months Top winners 10% 11% 33% 21% 25% Utilities 9% 10% 21% 25% 35% Fresh foods Essentials for 13% 9% 29% 23% 27% Groceries and staples daily life 9% 7% 33% 27% 24% Personal care products 12% 10% 29% 17% 32% Household care products 11% 5% 28% 29% 26% Mobile services 11% 8% 28% 24% 28% Home wifi connection At-home 11% 9% 34% 18% 27% DTH services entertainment/ 11% 10% 25% 22% 32% Paid OTT subscription Media Copyright © 2020 by Boston Consulting Group. All rights reserved. 14% 17% 22% 26% 22% Toys and games 12% 11% 22% 21% 34% Savings Saving/ 12% 9% 29% 23% 27% Insurance Investments 11% 9% 24% 25% 30% Preventive diagnostics/test 18% 9% 21% 23% 29% Vitamins, herbs, supplements Health & 15% 8% 26% 26% 25% Medical procedures Wellness 14% 11% 25% 20% 30% First-aid 11% 6% 22% 28% 33% Education Education A lot less Somewhat less About the same Somewhat more A lot more Note: Question text: “How do you expect your spend to change in the next 6 months across the following areas?” Categories with Top 2 Box > 45% (5% more than average) classified as winning categories 21 Source: BCG COVID-19 Consumer Sentiment Survey (India), March 23-26 2020 (N = 2,106)
India—Wave 1—March 23-26 Consumer sentiment survey: Travel, outdoor leisure activities and discretionary spending likely to be hardest hit by a planned reduction in spends Distribution of survey responses (%) Change in spends in next six months Top losers 34% 21% 13% 9% 23% Vacation/leisure travel 29% 19% 18% 10% 24% Business travel Travel & transport 27% 21% 26% 8% 18% Public transport 24% 23% 23% 15% 16% Spas, theme parks, concerts Out-of-home 21% 25% 23% 14% 17% Restaurants entertainment 23% 21% 24% 13% 19% Movies at cinema hall 25% 28% 20% 13% 14% Luxury brands/products 27% 19% 26% 12% 17% Cosmetics, makeup, perfume Copyright © 2020 by Boston Consulting Group. All rights reserved. Discretionary spends 24% 23% 24% 15% 15% Apparel/fashion 23% 19% 20% 16% 22% Tobacco & smoking supplies 33% 15% 19% 13% 20% Electronic durables/appliances Non-mobile electronics 29% 19% 23% 13% 16% Home construction/renovations Home improvement 19% 27% 21% 15% 19% Home furnishings and décor 21% 23% 29% 14% 14% Scooters/bikes Automobiles 34% 9% 35% 8% 15% Cars A lot less Somewhat less About the same Somewhat more A lot more Note: Question text: “How do you expect your spend to change in the next 6 months across the following areas?" For non- mobile consumer electronics categories and cars, Bottom 2 box is a sum of those who have already cancelled their plans to purchase and those who plan to spend less among those who still plan to buy in next 6 months. Categories with Bottom 2 Box > 22 38% (5% less than average) classified as losing categories Excludes categories with N
% age of companies industry-wise to face liquidity crunch on revenue decline Potential scenarios of Total # of 3-5% annual 7-9% annual 15-17% annual liquidity crunch across top Companies Rev. decline Rev. decline Rev. decline ~1000 Indian companies Retail 20 45% 45% 55% Forest Products & Packaging 31 32% 32% 52% linked to revenue decline Consumer Non-durables 82 28% 35% 45% from COVID-19 Fashion & Luxury 62 27% 35% 44% Sectors which may have high Building Materials 39 impact from 26% 28% 38% Methodology: Cash positions of the top liquidity crunch ~1000 public Indian companies (as per Auto & Components 60 22% 28% 37% market cap) tested; Cash flow pressure Metals & Mining 63 24% 30% 37% test on LTM Sep'19/ LTM Dec’ 19 financials, 20% 24% 35% Chemicals 122 extrapolated to June '20 using multiple Sectors which annual revenue decline situations (3-5%, 7- Consumer Durables 22 23% 23% 32% may have 9%, 15-17%); Construction 42 19% 21% 31% moderate Pharmaceuticals 65 12% 20% 31% impact from Liquidity crunch: Final cash position (+ve or –ve) liquidity crunch Copyright © 2020 by Boston Consulting Group. All rights reserved. post mandatory obligations (fixed costs, interest Machinery 67 21% 21% 25% expense, capex) including opening cash balance 18% 19% 24% IT, Technology & Services1 112 Energy & Utilities 25 24% 24% 24% Assumptions: Cost of Revenue declines with revenue; SGA, R&D, D&A, Interest Expense, Other Operating Expenses, Media & Publishing 30 10% 13% 20% Sectors which Capex, change in working capital remains constant and may have low extrapolated pro rata basis; No dividend, debt repayments Travel & Tourism 24 13% 13% 17% impact from assumed liquidity crunch Exclusions: Banks, NBFCs, Insurance, Asset Management, Real Oil & Gas 17 12% 12% 12% Estate, & co.s with latest published data prior to Sep '19; Transportation & Logistics 21 10% 10% 10% Aero&Defense, MedTech, Multibusiness, Telecom ignored as sample size of co.s 35% companies facing crunch 25-35% companies facing crunch
~23% of total bank credit deployed to industries/ services under full/partial restrictions • Outstanding credit recovery Sector-wise distribution of bank credit1 in India ($Bn2) reliant on financial health & 1,197 358 325 retrieval period for various Industries & services 11% under full/partial sectors Services 27% 7% restriction ($280Bn) constitutes ~23% of 47% 'total bank credit' • Measures taken by RBI to infuse liquidity in the Industries 31% economy Copyright © 2020 by Boston Consulting Group. All rights reserved. 15% 82% Level of supply side – 3 months moratorium restrictions Retail 28% period declared on all the 38% Restricted3 credit payments Agricuture Partially restricted4 – CRR requirements Food credit 13% 1% Not restricted5 reduced by 100 bps Total Industries Services 1. Data as on 31 Jan 2020 2. Exchange rate $1=INR 75 3. Restricted: Industries with supply side restrictions; includes Travel & tourism, Auto & components, Building materials, Construction/Infra, Real estate, Consumer durables& discretionary, Forest products & packaging, Fashion & luxury 4. Partially restricted: Transportation & logistics, Metals & mining, Machinery, Chemicals, Technology & software 5. Nor restricted: Energy & utilities, Oil & gas, Financials, Consumer staples 24 Source: RBI database; Media reports; BCG analysis
Speed of recovery for industries will be dependent on multiple drivers Multiple drivers will impact speed to recovery for industries post outbreak period 2008 recession: Industries witnessed different rates of recovery; Can act as a starting pt. to evaluate post COVID-19 recovery Not Exhaustive Demand side drivers 5 key distributions of select sectors as per intensity of impact & rate of recovery1 • Pent-up demand due to supply restrictions • Seasonal/cyclical demand during Summer Energy & Utilities period Food & bev • Longer term shifts in consumer behavior due to Pharma social distancing, healthcare experience Faster Apparel Telecom services • Demand recovery of exports in global countries Recovery Mining Retail Real estate Non metal minerals Supply side drivers Copyright © 2020 by Boston Consulting Group. All rights reserved. Auto & Components Transport & logistics • Access to affordable capital, loans, insurance Machinery Construction • Dependence on return of migrant labor, daily- Petro-upstream Financials & Insurance IT/IT Services wage, casual labor Metals Slower Media • Availability of imported raw material, sourcing Recovery Petro-downstream from other countries Consumer electronics Chemicals Air Travel Other drivers • Length of COVID-19 outbreak period, persistence of subsequent waves; swift ramp- Disproportionately In line Limited up in healthcare infra higher impact with GDP impact • Magnitude and type of Government stimulus package 1. Detailed backup in Appendix Note: Recovery rates estimated by no. of quarters taken for the sectors to recover growth • Monsoon intensity and time period Source: Oxford Economics, BCG Analysis 25
Industries in China showing different speed of recovery (I/II) Healthcare Consumer TMT2 >90% pharma companies 18% drop of retail goods sales, 43% drop >80% electronic component resumed operation in late Mar (vs. of catering services, while 3% increase of manufacturers resumed operation 60% in Feb) online retail sales of physical goods in in mid March (vs. 70% in early first two months of 2020 March) Copyright © 2020 by Boston Consulting Group. All rights reserved. ~80% Medtech companies resumed work in late Mar >80% smartphone supply chain ~90% of large retailing business1 has resumed operation in late March resumed in Mar ~95% pharmacies resumed work in late March (vs. 90% in late Feb) ~5% cinemas reopened in late 5.6% increase of daily sales of 1,000 March retail enterprises monitored by Ministry of 5-10% expected sales growth of Commerce (compared to mid-Feb), a pharmacy chains in Q1 positive growth after consecutive negative growth since late Jan 1. Incl. large agricultural product wholesale markets, large supermarkets, brand chain stores, e-commerce platforms 2. TMT – Technology, Media, Telecommunications 26
Industries in China showing different speed of recovery (II/II) Automobile Real Estate Financial Institutions 90% OEM resumed production on ~18.2% increase of total residential 95% bank branches resumed work Mar. 11th (vs. 84.4% on 2 Mar) housing sales area in 16 major cities by 22 Mar during 15-21 Mar (vs. previous week) >80% production capacity 800Bn RMB loan issued by Copyright © 2020 by Boston Consulting Group. All rights reserved. recovered in 11 of 13 major ~140% increase of total supply of real PBOC during Jan-Feb suppliers by 9 Mar estate land of 40 large cities during 16-22 Mar (vs. previous week) 2.08% NPL rate (by end of Feb), 66.2% work resumption in only increased 0.06% from dealers on 23 Mar ~84.4% increase of Evergrande's sales beginning of this year due to the launch of online sales platform YOY auto sales for Week 2 of Mar in Feb. (vs. 2019 Feb. ) 750Bn total amount of corporate dropped 44%, climbing from bonds issued in Feb, more than 61% drop of Week 4 of Feb twice than last Feb 1. Week 4 of Feb, Week 1 of Mar and Week 2 of Mar 27
Emerging Macro-scenarios 28 Copyright © 2020 by Boston Consulting Group. All rights reserved.
Indian economy has shown resilience with past crises, through V shaped recoveries GDP output at pre-crisis levels (hypothetical) Asian Financial Crisis Agricultural Crisis Global Financial Crisis Demonetization (1997) (2002-03) (2007-08 crisis) (2016-17) 9100 12200 23,500 35000 8900 V shaped recovery V shaped recovery 22,500 V shaped recovery V shaped recovery 11700 34000 GDP in INR billion GDP in INR billion GDP in INR billion GDP in INR billion 8700 21,500 20,500 33000 8500 Levels 11200 8300 19,500 32000 8100 10700 18,500 31000 7900 17,500 10200 16,500 30000 7700 7500 9700 15,500 29000 Copyright © 2020 by Boston Consulting Group. All rights reserved. 9% 14% 12% 10% 8% 9% GDP Q-on-Q growth in % GDP Q-on-Q growth in % GDP Q-on-Q growth in % GDP Q-on-Q growth in % 12% 10% 7% 8% 10% 8% 7% 6% Growth 8% 6% 5% 6% 5% 4% 6% 4% 3% 4% 4% 3% 2% 2% 2% 2% 1% 1% 0% 0% 0% 0% 1. GDP impact in 2007-08 was due to both the global financial crisis, as well as an NPA crisis due to aggressive lending during this period in anticipation of infrastructure growth 29 Source: Oxford Economics database
COVID-19's impact on GDP needs to be assessed on intensity & geometry of shock Macro-economic impact along 2 Intensity & geometry of COVID-19 to be assessed on level dimensions of impact to each dimension Disease & health impact Mild Intensity (size of shock) V U L Severity of the disease & effectiveness of healthcare Disease Moderate systems intensity V U L Financial & economic impact Copyright © 2020 by Boston Consulting Group. All rights reserved. Impact on the liquidity & V U L Severe capital robustness of Impact on liquidity & financial systems & the real Trend growth Trend growth confidence unaffected downgraded economy, leading to long term economic impact Geometry (shape of shock) Capital, labour & Disease duration productivity deterioration Source: BCG Center for Macroeconomics analysis 30
Intensity and Geometry of major previous shocks for India Real GDP Q-on-Q growth rate reduction1 Learnings from (~0%) V U L previous economy Intensity of shock Demonetization (2016) shocks & recovery (~4%) V Agricultural crisis (2002-03) U L paths for countries like China will help Copyright © 2020 by Boston Consulting Group. All rights reserved. Asian Financial crisis (1997) determine (>10%) V Trend growth Global financial crisis (2008-09) U L Trend growth potential impact unaffected downgraded Geometry of shock (V-U-L) 1. Growth rate reduction taken on Q-on-Q India GDP growth, from the peak before crisis to Previous shocks the lowest point during the crisis Source: NBER, BEA, BCG Center for Macroeconomics analysis to economy 31
Data as of 27 Mar For USA, emerging views on COVID-19 indicates a GDP drawdown greater than 2008 Illustrative Expected impact of COVID-19 for USA Current view of Real GDP COVID-19 impact Drawdown1 • US H1 '20 drawdown1 likely larger than 9/11 recession in '08 (~0%) V U L Intensity of shock (2001) Early 1990s • Shape not yet fixed – could be V or U (~2.5%) V recession U L shape Copyright © 2020 by Boston Consulting Group. All rights reserved. (1991) Global financial crisis (2008-09) • U-shape triggered if shock to labor, V U L capital, and productivity growth is (>6%) large enough Trend growth Trend growth unaffected downgraded • Recession likely Geometry of shock (V-U-L) 1. Real GDP drawdown refers to decline in real output during the crisis relative to prior peak, this has been used to calculate impact for USA GDP Source: NBER, BEA, BCG Center for Macroeconomics analysis 32
Key indicators to look out for as COVID-19 scenario develops in India Intensity of impact Geometry of impact Disease & health impact Financial & economic impact Disease & health impact Financial & economic impact 1 Virus properties 4 Financial system liquidity 1 Time to cure / vaccine 3 Financial system capital shock • Transmissibility of • Repo market stress • Vaccine development • Capital adequacy ratio disease • Commercial paper timeline • Volume of loan delinquencies • Mortality rate market stress • Regulatory approval (bad loans, delayed payments) • Bank liquidity ratios time expected 2 Mitigation policies (indicates fiscal policy 4 Real economy capital & • Testing levels during adequacy) 2 Disease seasonality & productivity shock early period of epidemic immunity • Investments in equity & debt • Mitigation / suppression 5 Real economy liquidity & • Disease severity with • Index of industrial production Copyright © 2020 by Boston Consulting Group. All rights reserved. policies implemented confidence levels season changes / higher (IIP) • Strictness of • Volume of bank temperature • Household & firm bankruptcy enforcement borrowings by firms & • Time to immunity households (indicates 5 Impact on Global economy 3 Healthcare system customer discretionary • Impact of COVID-19 mitigation effectiveness spending) measures by other countries • Utilization (capacity) of • Changes in travel (eg. Lockdown duration) healthcare system frequency • Impact of GDP & economic • Possibility/speed of • Unemployment rates indicators of early affected adding health capacity • Stock market / volatility countries indexes 33 Source: Government reports, Press search, BCG analysis
But the reality is unknown … Copyright © 2020 by Boston Consulting Group. All rights reserved. … and we need to plan for all eventualities 34
BCG's approach to handling impact of COVID-19 Now: Tackle Near-term: Prepare for the rebound, Seek Medium-term: Plan for the immediate priorities advantage in adversity new reality post crisis Max 2-3 weeks1 3-6 months1 Beyond 3-6 months1 Mobilize "war room" Fortify Reinforce Seize Reinvent self: 'Win in the new liquidity & supply demand reality' Protect employees and customers, profitability recovery Re-establish Copyright © 2020 by Boston Consulting Group. All rights reserved. control the narrative Re-define purpose, act to win Manage cash; availability, Protect customer Rationalize costs for strengthen supply base; maintain or resilience; explore network grow wallet share Reimagine business possibilities Ensure business M&A moves Identify behavior shifts - Adapt offerings continuity & fulfilment models; Accelerate digital Stop gap measures as necessary Re-strategize FY20-21 Capture new white spaces; (e.g. sourcing, mfg., distribution) Consider inorganic moves Build agile scenario-based plans; re-configure workforce to deal with uncertainty …and more Establish visibility Restructure: Build resilience Setup a digital control tower, Accelerate digital transformation track critical KPIs, monitor Protect against future shocks; Build 'firm of disruptions Sales, service & fulfilment; Ways of working the future'; Scale new ways of working 1. Timelines indicative: Linked to stage of crisis in each market and level of impact on each industry 35
Engage as a partner We will partner with you in getting the rapid response team kick- started with an agile working model Plan for the unknown We will drive a scenario wise assessment of company's exposure & How can BCG outline mitigation roadmap help you? Support on immediate priorities We will work with you to deep-dive on critical priorities to layout a detailed action plan Copyright © 2020 by Boston Consulting Group. All rights reserved. Capitalize on emerging opportunities We will work with you to scan for emerging new opportunities (M&A, diversification) to enable acting early Bringing best-practices to you We will bring in the latest learnings and best-practices from around the world 36
We can hit the ground running to achieve rapid impact Proven suite of tools to implement from Day 1 Checklists, bench- Up-to-date research Robust framework to Cash office setup, Day-to-day global marks, remote best & insights on re-strategize for Cash management demand signals Copyright © 2020 by Boston Consulting Group. All rights reserved. practices, industry- consumer sentiment FY20-21, modeled at framework, 100+ across CPG, T&T, F&L specific views, … w.r.t COVID-19 disease, economy, proven levers to scale Retail, and others industry & company and sustain results levels Agile Strategic Liquidity & cash E2E crisis COVID-19 Cons. Response & management Demand Sentinel management sentiment Scenario Planning framework 37
The situation surrounding COVID-19 is dynamic and rapidly evolving, on a daily basis. Although we have taken great care prior to producing this presentation, it represents BCG’s view at a particular point in time. This presentation is not intended to: (i) constitute medical or safety advice, nor be a substitute for the same; nor (ii) be seen as a formal endorsement or recommendation of a particular response. As such you are advised to make your own assessment as to the appropriate course of action to take, using this presentation as guidance. Please carefully consider local laws and guidance in your area, particularly the most recent advice issued by your local (and national) health authorities, before making any decision. Copyright © 2020 by Boston Consulting Group. All rights reserved. 38
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