Results of logistic coefficient estimation using bootstrap (training data)
| OnBid rate | CD rate | Bond spread | Credit spread | KOSPI return | R2 | |
|---|---|---|---|---|---|---|
| mean | −0.70 | 8.58 | −3.53 | 8.30 | −0.52 | −0.01 |
| s.d. | 0.60 | 1.74 | 0.78 | 1.67 | 0.59 | 0.17 |
| 95% CI | [−1.97,0.35] | [5.44,12.26] | [−5.19,−2.08] | [5.39,12.03] | [−1.78,0.52] | [−0.36,0.32] |
| OnBid | CD | Bond | Credit spread | KOSPI return | ||
|---|---|---|---|---|---|---|
| mean | −0.70 | 8.58 | −3.53 | 8.30 | −0.52 | −0.01 |
| s.d. | 0.60 | 1.74 | 0.78 | 1.67 | 0.59 | 0.17 |
| 95% CI | [−1.97,0.35] | [5.44,12.26] | [−5.19,−2.08] | [5.39,12.03] | [−1.78,0.52] | [−0.36,0.32] |
Notes:
This table reports bootstrap training results of estimated coefficients in logistic regression and R2. We run 1,000 times to compute the mean, standard deviation (s.d.), and 95% confidence interval (CI). For example, the lower 2.5% percentile is ranked in 25th among the 1,000 results and the upper 97.5% percentile is ranked in 975th
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