Research Article
An Optimal Credit Scoring Model Based on the Maximum Default Identification Ability for Chinese Small Business
Table 8
Optimal weighting result of Wilks’ Lambda method.
| Indicator | Wilks’ Lambda weight | Sum of weight |
| X1 net cash flow ratio from current liabilities operating activities | 0.017 | The weight of financial indicators is 0.113 | X2 super-quick ratio | 0.025 | X3 total outstanding loans to total assets ratio | 0.024 | X4 net cash flow from operating activities (yuan) | 0.035 | X5 working capital allocation ratio | 0.006 | X6 retained earnings growth rate | 0.007 | X7 consumer price indicator | 0.237 | The weight of nonfinancial indicators is 0.887 | X8 controlled income of each urban resident (yuan) | 0.147 | X9 Engel coefficient | 0.187 | X10 working time in relevant industry | 0.057 | X11 account opening status | 0.006 | X12 product sales range | 0.046 | X13 dwelling condition | 0.027 | X14 working time holding the position | 0.038 | X15 enterprise credit in 3 years | 0.108 | X16 score of pledged collateral | 0.034 |
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