Variable definitions and summary statistics
| Variable | Definition | Data source | N.Obs | Mean (SD) | Min (Max) |
|---|---|---|---|---|---|
| Dependent | |||||
| RWA | Risk weighted asset/Total asset | Banker | 958 | 0.626 (0.196) | 0.150 (1.062) |
| RoA | Net Profit/Total asset | Banker | 1,000 | 0.009 (0.008) | −0.007 (0.047) |
| Independent | |||||
| Gap | (Number of days between the first reported Covid case in the country less balance sheet end date for the reporting banks in the country)/(Maximum number of days between the first reported Covid case in any country less balance sheet end date for the reporting banks in that country) | Wikipedia, Banker | 1,000 | 0.084 (0.186) | −0.223 (1.00) |
| Bank controls (Bank) | |||||
| Size | Ln(Total asset) | Banker | 1,000 | 10.378 (1.409) | 8.246 (14.520) |
| CAP | Total capital/Total asset | As above | 964 | 0.165 (0.053) | 0.084 (0.410) |
| LTA | Gross loan/Total asset | As above | 975 | 0.636 (0.149) | 0.176 (0.934) |
| LTD | Gross loans/Gross total deposits | As above | 923 | 0.964 (0.528) | 0.260 (4.840) |
| CIR | Cost-to-income ratio | As above | 992 | 0.512 (0.163) | 0.203 (0.933) |
| Islamic | Dummy = 1, if a bank is Islamic, else zero | Author calculations based on The Banker | 1,000 | 0.031 (0.173) | 0 (1.00) |
| IW | Dummy = 1 if a bank has a Islamic window, else zero | As above | 1,000 | 0.011 (0.104) | 0 (1.00) |
| GSIB | Dummy = 1, if a bank is a globally systemically important bank, else zero | BIS (2019) | 1,000 | 0.030 (0.171) | 0 (1.00) |
| Banking industry (Industry) | |||||
| DIS | Dummy = 1, if a country has explicit deposit insurance, else zero | Demirguc Kunt et al. (2014) | 1,000 | 0.768 (0.422) | 0 (1.00) |
| Country controls (Country) | |||||
| Ln PCGDP | ln (per capita GDP, base 2010) | World Bank | 995 | 10.024 (1.045) | 7.121 (11.436) |
| Credit | Domestic private credit/GDP | Author calculations | 888 | 1.273 (0.567) | 0.105 (1.922) |
| Openness | (Exports + imports)/GDP | World Bank | 996 | 0.695 (0.541) | 0.275 (3.191) |
| INFL | Annual percentage change in GDP deflator (We set to zero all observations for which inflation takes negative value and apply the inverse hyperbolic since transformation (INFL = Ln(INFL+ | Author calculations, akin to Arcand et al. (2012) | 995 | 1.179 (0.701) | 0 (3.328) |
| Policy initiatives | |||||
| Liquidity | Dummy = 1 if a country has provided liquidity support measures, else zero | IMF (2020a, b, c) and World Bank (2020) | 1,000 | 0.933 (0.250) | |
| Prudential | Dummy = 1 if a country has undertaken prudential measures, else zero | As above | 1,000 | 0.939 (0.239) | |
| Borrower | Dummy = 1 if a country has provided borrower support measures, else zero | As above | 1,000 | 0.820 (0.384) | |
| Asset purchase | Dummy = 1 if a country has undertaken asset purchase measures, else zero | As above | 1,000 | 0.468 (0.499) | |
| Policy rate | Dummy = 1 if a country has changed its policy rate, else zero | As above | 1,000 | 0.872 (0.334) | |
| Digital | Dummy = 1 if a country has undertaken measures to support digital activity, else zero | As above | 1,000 | 0.251 (0.434) | |
| Market functioning | Dummy = 1 if a country has undertaken measures to support market functioning, else zero | As above | 1,000 | 0.606 (0.489) | |
| Other controls (Other) | |||||
| Governance | Estimate of World Bank Governance Indicator based on six areas: Voice and accountability, Political stability, Government effectiveness, Regulatory quality, Rule of law and Control of corruption. We obtain an aggregate value of the indicator using these six areas and classify countries into four quartiles depending on whether the aggregate value is less than or equal to 25th percentile, greater than 25th and upto 50th percentile, greater than 50th and upto 75th percentile and finally, above 75th percentile | World Bank Governance Indicators | 999 | 2.478 (1.119) | 1.00 (4.00) |
| Supervision | Dummy = 1 if bank supervision is with central bank, else zero | Anigner et al. (2019) | 1,000 | 0.506 (0.500) | |
| Interest | Cumulative interest rate cut by the monetary authority/central bank in the past one year | Central bank website | 970 | −0.462 (1.189) | −12.00 (3.25) |
| Multiple | Dummy = 1, if the monetary authority/central bank has resorted to multiple interest rate cuts during the past one year, else zero | As above | 970 | 0.539 (0.499) | |
| Legal | Legal origin of the country, according as French, English, German and Others (control category) | La Porta et al. (1998) | 1,000 | 2.214 (0.861) | 1.00 (4.00) |
| Parliamentary | Dummy = 1, if a country has parliamentary type of government, else zero | World Factbook, Central Intelligence Agency | 1,000 | 0.346 (0.476) | 0 (1.00) |
| Presidential | Dummy = 1, if a country has presidential or semi-presidential type of government, else zero | As above | 1,000 | 0.374 (0.484) | 0 (1.00) |
| Others | Dummy = 1, if a country has any type of government which is neither Parliamentary or Presidential (control category) | As above | 1,000 | 0.280 (0.449) | 0 (1.00) |
| Region | Dummy for different regions, based on World Bank classification. These include, East Asia and Pacific (control category), Europe and Central Asia, Latin America and Caribbean, Middle East and Central Asia, North Americas, South Asia and Sub-Saharan Africa | World Bank | 1,000 | 2.661 (1.727) | 1.00 (7.00) |
| Variable | Definition | Data source | N.Obs | Mean (SD) | Min (Max) |
|---|---|---|---|---|---|
| RWA | Risk weighted asset/Total asset | Banker | 958 | 0.626 (0.196) | 0.150 (1.062) |
| RoA | Net Profit/Total asset | Banker | 1,000 | 0.009 (0.008) | −0.007 (0.047) |
| Gap | (Number of days between the first reported Covid case in the country | Wikipedia, Banker | 1,000 | 0.084 (0.186) | −0.223 (1.00) |
| Size | Ln(Total asset) | Banker | 1,000 | 10.378 (1.409) | 8.246 (14.520) |
| CAP | Total capital/Total asset | As above | 964 | 0.165 (0.053) | 0.084 (0.410) |
| LTA | Gross loan/Total asset | As above | 975 | 0.636 (0.149) | 0.176 (0.934) |
| LTD | Gross loans/Gross total deposits | As above | 923 | 0.964 (0.528) | 0.260 (4.840) |
| CIR | Cost-to-income ratio | As above | 992 | 0.512 (0.163) | 0.203 (0.933) |
| Islamic | Dummy = 1, if a bank is Islamic, else zero | Author calculations based on The Banker | 1,000 | 0.031 (0.173) | 0 (1.00) |
| IW | Dummy = 1 if a bank has a Islamic window, else zero | As above | 1,000 | 0.011 (0.104) | 0 (1.00) |
| GSIB | Dummy = 1, if a bank is a globally systemically important bank, else zero | 1,000 | 0.030 (0.171) | 0 (1.00) | |
| DIS | Dummy = 1, if a country has explicit deposit insurance, else zero | 1,000 | 0.768 (0.422) | 0 (1.00) | |
| Ln PCGDP | ln (per capita GDP, base 2010) | World Bank | 995 | 10.024 (1.045) | 7.121 (11.436) |
| Credit | Domestic private credit/GDP | Author calculations | 888 | 1.273 (0.567) | 0.105 (1.922) |
| Openness | (Exports + imports)/GDP | World Bank | 996 | 0.695 (0.541) | 0.275 (3.191) |
| INFL | Annual percentage change in GDP deflator (We set to zero all observations for which inflation takes negative value and apply the inverse hyperbolic since transformation (INFL = Ln(INFL+ | Author calculations, akin to | 995 | 1.179 (0.701) | 0 (3.328) |
| Liquidity | Dummy = 1 if a country has provided liquidity support measures, else zero | 1,000 | 0.933 (0.250) | ||
| Prudential | Dummy = 1 if a country has undertaken prudential measures, else zero | As above | 1,000 | 0.939 (0.239) | |
| Borrower | Dummy = 1 if a country has provided borrower support measures, else zero | As above | 1,000 | 0.820 (0.384) | |
| Asset purchase | Dummy = 1 if a country has undertaken asset purchase measures, else zero | As above | 1,000 | 0.468 (0.499) | |
| Policy rate | Dummy = 1 if a country has changed its policy rate, else zero | As above | 1,000 | 0.872 (0.334) | |
| Digital | Dummy = 1 if a country has undertaken measures to support digital activity, else zero | As above | 1,000 | 0.251 (0.434) | |
| Market functioning | Dummy = 1 if a country has undertaken measures to support market functioning, else zero | As above | 1,000 | 0.606 (0.489) | |
| Governance | Estimate of World Bank Governance Indicator based on six areas: Voice and accountability, Political stability, Government effectiveness, Regulatory quality, Rule of law and Control of corruption. We obtain an aggregate value of the indicator using these six areas and classify countries into four quartiles depending on whether the aggregate value is less than or equal to 25th percentile, greater than 25th and upto 50th percentile, greater than 50th and upto 75th percentile and finally, above 75th percentile | World Bank Governance Indicators | 999 | 2.478 (1.119) | 1.00 (4.00) |
| Supervision | Dummy = 1 if bank supervision is with central bank, else zero | 1,000 | 0.506 (0.500) | ||
| Interest | Cumulative interest rate cut by the monetary authority/central bank in the past one year | Central bank website | 970 | −0.462 (1.189) | −12.00 (3.25) |
| Multiple | Dummy = 1, if the monetary authority/central bank has resorted to multiple interest rate cuts during the past one year, else zero | As above | 970 | 0.539 (0.499) | |
| Legal | Legal origin of the country, according as French, English, German and Others (control category) | 1,000 | 2.214 (0.861) | 1.00 (4.00) | |
| Parliamentary | Dummy = 1, if a country has parliamentary type of government, else zero | World Factbook, Central Intelligence Agency | 1,000 | 0.346 (0.476) | 0 (1.00) |
| Presidential | Dummy = 1, if a country has presidential or semi-presidential type of government, else zero | As above | 1,000 | 0.374 (0.484) | 0 (1.00) |
| Others | Dummy = 1, if a country has any type of government which is neither Parliamentary or Presidential (control category) | As above | 1,000 | 0.280 (0.449) | 0 (1.00) |
| Region | Dummy for different regions, based on World Bank classification. These include, East Asia and Pacific (control category), Europe and Central Asia, Latin America and Caribbean, Middle East and Central Asia, North Americas, South Asia and Sub-Saharan Africa | World Bank | 1,000 | 2.661 (1.727) | 1.00 (7.00) |
Source(s): The author's calculations
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