COVID-19 India Perspective 2.0 - Boston Consulting Group

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COVID-19 India Perspective 2.0 - Boston Consulting Group
COVID-19
India Perspective 2.0

30 MARCH 2020
COVID-19 India Perspective 2.0 - Boston Consulting Group
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

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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…
COVID-19 India Perspective 2.0 - Boston Consulting Group
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

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                        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

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  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

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                          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

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                                                               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

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    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

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                                                                                                                      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)

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 -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%

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                     -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)

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                                                                                     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)

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                                                                                                                                  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

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                                                             • 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 %

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                                              (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%)

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      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%

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 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

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                                                                                                                                                         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)

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                 • 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

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        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

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                                                                                                                                                                   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

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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

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                                                                 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

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                 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)

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      ~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

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      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

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                                        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

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              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

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      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

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       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

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              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

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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
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making any decision.

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BCG does not provide fairness opinions or valuations of market transactions, and these materials should not be relied on
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