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. 2023 Feb 3;67:100784. doi: 10.1016/j.mulfin.2023.100784

Table 14.

Impact of the COVID-19 pandemic on bank performance and bank stability: Alternative independent variable measures.


Panel A: Bank performance
Panel B: Bank stability
Panel (i): Confirmed COVID-19 death growth

(1) (2) (3) (4) (5) (6) (7) (8) (9)
ROAA ROAE NIM CIN ZSC NPL PRK LRK ORK
COVID-19-V1 -0.316 * ** -0.071 * ** -0.028 * ** -0.349 * 0.752 * ** 0.439 * ** -0.314 0.012 0.184 * *
(0.089) (0.020) (0.007) (0.192) (0.253) (0.087) (0.213) (0.034) (0.073)
Control variables Yes Yes Yes Yes Yes Yes Yes Yes Yes
Country FE Yes Yes Yes Yes Yes Yes Yes Yes Yes
Year FE Yes Yes Yes Yes Yes Yes Yes Yes Yes
α0 -3.371 * ** -13.782 * ** 6.653 * -2.547 * ** -3.597 * ** 11.250 * ** 8.276 * ** 11.621 * ** 2.183 *
(1.213) (2.559) (3.441) (0.698) (1.336) (1.746) (1.729) (2.275) (1.137)
Obs. 26,377 26,772 26,209 26,209 25,856 25,836 25,634 25,023 25,453
R-squared 0.337 0.320 0.336 0.313 0.359 0.318 0.325 0.318 0.349
Panel (ii): Confirmed COVID-19 cases growth
(1) (2) (3) (4) (5) (6) (7) (8) (9)
ROAA ROAE NIM CIN ZSC NPL PRK LRK ORK
COVID-19-V2 -0.409 * ** -0.258 * ** -0.126 * * -0.256 * * 0.569 * ** 0.323 * * -0.141 0.271 0.247 * *
(0.118) (0.063) (0.055) (0.100) (0.108) (0.156) (0.107) (0.170) (0.117)
Control variables Yes Yes Yes Yes Yes Yes Yes Yes Yes
Country FE Yes Yes Yes Yes Yes Yes Yes Yes Yes
Year FE Yes Yes Yes Yes Yes Yes Yes Yes Yes
α0 -3.032 * ** -16.496 * ** 5.914 * * -4.214 * ** -3.429 * * 12.262 * ** 8.356 * ** 11.779 * ** 2.522 * *
(1.127) (2.607) (2.595) (1.359) (1.403) (1.583) (1.788) (2.783) (1.205)
Obs. 26,746 26,753 26,233 26,314 23,528 25,336 25,053 25,641 25,530
R-squared 0.346 0.339 0.358 0.388 0.392 0.351 0.350 0.348 0.332

This table shows how bank performance and stability respond to the COVID-19 pandemic. The sample comprises 2073 banks in 106 countries from 2016 Q1 to 2021 Q2. Panel A represents the outcomes for bank performance measured as ROA, ROE, NIM, and CIN. Panel B shows the bank stability results, which are measured as ZSC, NPL PRK, LRK, and ORK. COVID-19-V1 and COVID-19-V2 are the main explanatory variables. COVID-19-V1 indicates confirmed death growth, calculated as log(1 +number of confirmed deaths in quarter t) − log(1 + number of confirmed deaths in quarter t-1). While COVID-19-V2 shows the confirmed cases growth calculated as log(1 +number of confirmed cases in quarter t) − log(1 + number of confirmed cases in quarter t-1). We also control several bank-specific and country-specific factors, country-fixed effects, and time (quarter) fixed effects. Robust standard errors are clustered at the country level and reported in parentheses *** p < 0.01, ** p < 0.05, * p < 0.1.