Table A3.
Exchange rate exposure and systematic risk at the sector level
| Panel A: Before COVID-19 | Panel B: During COVID-19 | Panel C: Full Sample | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variable | βM | P-value | βEX | P-value | βM | P-value | βEX | P-value | βM | P-value | βEX | P-value |
| Banks | 1.037 | 0.000 | -0.537 | 0.000 | 1.280 | 0.000 | -0.765 | 0.000 | 1.227 | 0.000 | -0.668 | 0.000 |
| Life Insurance | 1.061 | 0.000 | -0.364 | 0.000 | 1.210 | 0.000 | -0.542 | 0.000 | 1.180 | 0.000 | -0.466 | 0.000 |
| Auto and Parts | 0.214 | 0.101 | -0.161 | 0.114 | 0.655 | 0.000 | -0.131 | 0.606 | 0.547 | 0.000 | -0.163 | 0.233 |
| Beverages | 0.578 | 0.000 | 0.517 | 0.000 | 0.871 | 0.000 | 0.162 | 0.401 | 0.795 | 0.000 | 0.327 | 0.003 |
| Chemicals | 1.223 | 0.000 | 0.233 | 0.167 | 1.784 | 0.000 | -1.168 | 0.014 | 1.654 | 0.000 | -0.512 | 0.065 |
| Construction and Materials | 0.364 | 0.008 | -0.178 | 0.107 | 0.491 | 0.000 | -0.026 | 0.827 | 0.463 | 0.000 | -0.108 | 0.169 |
| Electronic and Electrical Equipment | 0.657 | 0.000 | -0.319 | 0.015 | 0.728 | 0.000 | -0.674 | 0.001 | 0.712 | 0.000 | -0.492 | 0.000 |
| Food and Drug Retailers | 0.904 | 0.000 | -0.197 | 0.006 | 0.632 | 0.000 | -0.087 | 0.332 | 0.699 | 0.000 | -0.128 | 0.031 |
| Food Producers | 0.606 | 0.000 | -0.123 | 0.067 | 0.403 | 0.000 | -0.048 | 0.640 | 0.454 | 0.000 | -0.081 | 0.204 |
| Forestry and Paper | 0.900 | 0.000 | 0.130 | 0.275 | 0.974 | 0.000 | 0.137 | 0.246 | 0.961 | 0.000 | 0.110 | 0.189 |
| Fixed Line Telecommunications | 1.079 | 0.000 | 0.061 | 0.733 | 1.124 | 0.000 | -0.515 | 0.111 | 1.109 | 0.000 | -0.245 | 0.203 |
| General Retailers | 1.043 | 0.000 | -0.443 | 0.000 | 1.055 | 0.000 | -0.570 | 0.000 | 1.054 | 0.000 | -0.505 | 0.000 |
| General Financials | 0.927 | 0.000 | -0.081 | 0.151 | 0.988 | 0.000 | -0.254 | 0.008 | 0.976 | 0.000 | -0.179 | 0.001 |
| General Industrials | 0.917 | 0.000 | -0.309 | 0.000 | 0.879 | 0.000 | -0.444 | 0.000 | 0.892 | 0.000 | -0.377 | 0.000 |
| Health Care Equipment and Services | 0.846 | 0.000 | -0.066 | 0.350 | 0.721 | 0.000 | -0.082 | 0.554 | 0.755 | 0.000 | -0.077 | 0.328 |
| Industrial Metals and Mining | 1.363 | 0.000 | -0.288 | 0.161 | 1.043 | 0.000 | 0.104 | 0.529 | 1.127 | 0.000 | -0.087 | 0.533 |
| Industrial Transportation | 0.653 | 0.000 | -0.076 | 0.323 | 0.877 | 0.000 | -0.475 | 0.005 | 0.821 | 0.000 | -0.285 | 0.004 |
| Media | 0.590 | 0.000 | -0.069 | 0.555 | 0.413 | 0.004 | 0.222 | 0.249 | 0.461 | 0.000 | 0.075 | 0.520 |
| Mining | 0.941 | 0.000 | 0.251 | 0.005 | 1.272 | 0.000 | 0.187 | 0.054 | 1.187 | 0.000 | 0.209 | 0.002 |
| Mobile Telecommunications | 0.891 | 0.000 | -0.057 | 0.654 | 0.996 | 0.000 | -0.295 | 0.059 | 0.973 | 0.000 | -0.186 | 0.056 |
| Nonlife Insurance | 0.596 | 0.000 | -0.272 | 0.002 | 0.451 | 0.000 | -0.116 | 0.439 | 0.488 | 0.000 | -0.185 | 0.038 |
| Personal Goods | 0.858 | 0.000 | 0.429 | 0.000 | 0.791 | 0.000 | 0.290 | 0.030 | 0.801 | 0.000 | 0.369 | 0.000 |
| Pharmaceuticals and Biotechnology | 1.121 | 0.000 | -0.010 | 0.954 | 0.551 | 0.000 | 0.273 | 0.271 | 0.695 | 0.000 | 0.141 | 0.349 |
| Real Estate Investment Services | 0.476 | 0.000 | 0.200 | 0.000 | 1.243 | 0.000 | -0.312 | 0.013 | 1.050 | 0.000 | -0.085 | 0.287 |
| Real Estate Investment Trust | 0.529 | 0.000 | -0.119 | 0.045 | 1.235 | 0.000 | -0.526 | 0.000 | 1.062 | 0.000 | -0.356 | 0.000 |
| Software and Computer Services | 1.261 | 0.000 | -0.024 | 0.771 | 0.820 | 0.000 | 0.226 | 0.071 | 0.927 | 0.000 | 0.129 | 0.103 |
| Support Services | 0.273 | 0.003 | 0.045 | 0.664 | 0.408 | 0.000 | -0.010 | 0.957 | 0.377 | 0.000 | 0.005 | 0.965 |
| Tobacco | 0.613 | 0.000 | 0.657 | 0.000 | 0.468 | 0.000 | 0.603 | 0.002 | 0.495 | 0.000 | 0.646 | 0.000 |
| Travel and Leisure | 0.440 | 0.000 | -0.132 | 0.107 | 1.044 | 0.000 | -0.445 | 0.117 | 0.893 | 0.000 | -0.316 | 0.044 |
This table reports estimates of the systematic risk and exchange rate exposure coefficients obtained from the four-factor asset pricing model, Equation (6). βEX is the exchange rate exposure coefficient derived from projecting exchange rate returns on the three factors, namely market returns (RM), short-term interest rate (SR), and oil price returns (OIL). FEX is the exchange rate component that is orthogonal to the three factors. Panels A, B, and C focus on the period before COVID-19, during COVID-19, and the full sample, respectively. We estimate Equation (6) by OLS and address potential serial correlation and heteroskedasticity in the error terms using heteroskedasticity and autocorrelation consistent standard errors.