Table 3.

Results of SHAP estimation using bootstrap (logistic regression)

OnBid rateCD rateBond spreadCredit spreadKOSPI return
Panel A: 1,000 bootstraps with training data
mean0.0780.1990.0960.2250.078
s.d.0.0250.0240.0250.0280.029
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
mean0.0770.1980.0960.2260.078
s.d.0.0240.0220.0250.0270.030
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-value0.3270.716−0.002−0.873−0.120
p-value0.7440.4740.9990.3830.904

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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