Results of SHAP estimation using bootstrap (logistic regression)
| OnBid rate | CD rate | Bond spread | Credit spread | KOSPI return | |
|---|---|---|---|---|---|
| Panel A: 1,000 bootstraps with training data | |||||
| mean | 0.078 | 0.199 | 0.096 | 0.225 | 0.078 |
| s.d. | 0.025 | 0.024 | 0.025 | 0.028 | 0.029 |
| 95% CI | [0.032,0.127] | [0.147,0.243] | [0.052,0.146] | [0.168,0.279] | [0.017,0.136] |
| Panel B: 1,000 bootstraps with test data | |||||
| mean | 0.077 | 0.198 | 0.096 | 0.226 | 0.078 |
| s.d. | 0.024 | 0.022 | 0.025 | 0.027 | 0.030 |
| 95% CI | [0.035,0.126] | [0.154,0.241] | [0.053,0.150] | [0.175,0.281] | [0.018,0.138] |
| Panel C: T-test for comparison of the means between two groups (t-test for equal mean) | |||||
| t-value | 0.327 | 0.716 | −0.002 | −0.873 | −0.120 |
| p-value | 0.744 | 0.474 | 0.999 | 0.383 | 0.904 |
| OnBid rate | CD rate | Bond spread | Credit spread | KOSPI return | |
|---|---|---|---|---|---|
| mean | 0.078 | 0.199 | 0.096 | 0.225 | 0.078 |
| s.d. | 0.025 | 0.024 | 0.025 | 0.028 | 0.029 |
| 95% CI | [0.032,0.127] | [0.147,0.243] | [0.052,0.146] | [0.168,0.279] | [0.017,0.136] |
| mean | 0.077 | 0.198 | 0.096 | 0.226 | 0.078 |
| s.d. | 0.024 | 0.022 | 0.025 | 0.027 | 0.030 |
| 95% CI | [0.035,0.126] | [0.154,0.241] | [0.053,0.150] | [0.175,0.281] | [0.018,0.138] |
| 0.327 | 0.716 | −0.002 | −0.873 | −0.120 | |
| 0.744 | 0.474 | 0.999 | 0.383 | 0.904 | |
Notes:
This table reports bootstrap results of estimated SHAP in logistic regression. We run 1,000 times to compute the mean, standard deviation (s.d.), and 95% confidence interval (CI) for training (Panel A) and test data (Panel B). Panel C shows t- and p-values of t-test for comparison for the means between training and test data; the null hypothesis is that both means are equal to each other
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