Acceso abierto

Application of Logical Regression Function Model in Credit Business of Commercial Banks


Cite

Fig. 1

The prediction accuracy of the model when the cut-off point is 0.5
The prediction accuracy of the model when the cut-off point is 0.5

Fig. 2

The prediction accuracy of the model when the cut-off point is 0.7
The prediction accuracy of the model when the cut-off point is 0.7

Block 1: Method=Enter

B S.E. Wald df Sig Exp(B)
Step 1a χ1 634.012 444.323 2.036 1 .154 2E+275
χ2 -976.358 654.229 2.227 1 .136 .000
χ3 9.901 10.752 .848 1 .357 19959.659
χ4 -6.869 20.664 .110 1 .740 .001
χ5 -.700 .468 2.237 1 .135 .496
χ6 15.918 17.997 .782 1 .376 8188569
χ7 .012 .023 .258 1 .612 1.012
χ8 -.365 3.199 .013 1 .909 .694
χ9 -4.079 12.464 .107 1 .743 .017
χ10 -.051 .195 .069 1 .792 .950
χ11 421.878 335.115 1.585 1 .208 2E+183
χ12 5.475 9.537 .330 1 .566 238.710
χ13 21.546 13.779 2.445 1 .118 2E+009
χ14 2.252 4.017 .314 1 .575 9.509
χ15 -.022 .156 .020 1 .887 .978
χ16 17.818 9.660 3.402 1 .065 5E+007
χ17 -2.940 3.013 .952 1 .329 .053
χ18 -.069 .064 1.173 1 .279 .933
χ19 4.692 2.145 4.783 1 .029 109.041
χ20 1.156 .945 1.495 1 .221 3.176
Constant -14.618 18.057 .655 1 .418 .000

Omnibus tests of Model Coefficients

Chi-square df sig
Step 1 Step 56.930 1 .000
Block 56.930 1 .000
Model 56.930 1 .000
Step 2 Step 51.714 1 .000
Block 108.644 2 .000
Model 108.644 2 .000
Step 3 Step 3.609 1 .057
Block 112.253 3 .000
Model 112.253 3 .000
Step 4 Step 10.319 1 .001
Block 122.572 4 .000
Model 122.572 4 .000
Step 5 Step 10.256 1 .001
Block 132.828 5 .000
Model 132.828 5 .000
Step 6 Step 8.562 1 .003
Block 141.390 6 .000
Model 141.390 6 .000
Step 7 Step -1.271 1 .250
Block 140.119 5 .000
Model 140.119 5 .000
Step 8 Step 6.922 1 .009
Block 147.042 6 .000
Model 147.042 6 .000

Properties of independent variables

The independent variables Nature Definitions or thresholds
Short-term solvency indicators Current ratio X1 Continuous variables Current assets ÷ Current liabilities
Quick ratio X2 Continuous variables Quick assets ÷ Current liabilities
Cash flow liability ratio X3 Continuous variables Net operating cash flow ÷ Current liabilities
Indicators of long-term solvency Asset-liability ratio X4 Continuous variables The total amount of liabilities ÷ The total assets of
Equity ratio X5 Continuous variables Liabilities ÷ Owner’s equity
Shareholders’ equity ratio X6 Continuous variables Owner’s equity ÷ assets
Interest coverage multiple X7 Continuous variables (Total profit + interest expense) ÷ Interest charges
Operational capability index Accounts receivable turnover X8 Continuous variables Net income from main business ÷ Average balance of accounts receivable
Deposit turnover X9 Continuous variables Main business cost ÷ Mean surviving balance
Shareholder’s equity turnover X10 Continuous variables Main business revenue ÷ Average balance of shareholders’ equity
Total asset turnover X11 Continuous variables Main business revenue ÷ Average balance of assets
Profitability index Net profit rate on sales X12 Continuous variables Net profit ÷ Main business revenue
Return on assets X13 Continuous variables Net profit ÷ Average balance of assets
Return on shareholders’ equity X14 Continuous variables Net profit ÷ Average balance of shareholders’ equity
Development Capability Indicators Growth rate of net assets X15 Continuous variables (Owners’ equity at year end-Owners’ equity at the beginning of the year) ÷Owners’ equity at the beginning of the year
Growth rate of total assets X16 Continuous variables (Total assets at year-end-Total assets at the beginning of year) ÷ Total assets at the beginning of year
Main business revenue growth rate X17 Continuous variables (Year-end main operating income-Main operating revenue at the beginning of the year) ÷Main operating revenue at the beginning of the year
Growth rate of after-tax profits X18 Continuous variables (Net interest rate at year end-Net interest at the beginning of the year) ÷Net interest at the beginning of the year
Qualitative indicators Quality of key management personnel X19 Ordered class variables “The leaders of the enterprise have rich management experience, strong management ability, remarkable historical performance and good social reputation for personal tourism”=5 ; “Corporate leaders have strong management ability and good management experience”=4; “Business leaders have strong management ability and certain management experience”=3 ; “Business leaders have general management ability and experience”=2; “other”=1
Enterprise management level X20 Ordered class variables “The property right is clear, the organization structure is perfect, the property system is sound”=3; “general”=2; “other”=1

Prediction of the model when the cut-off point is 0.5

Custom percentage
Custom Bad customer Good customer Correct
Bad customer 18 6 75.0
Good customer 4 55 93.2
Overall percentage 88.0

The prediction of the model when the cut-off point is 0.7

Custom percentage
Custom Bad customer Good custome Correct
Bad customer 21 3 87.5
Good custome 6 53 89.8
Overall percentage 89.2

Hosmer-Lemeshow Test

Step Chi-square df sig
1 7.222 3 .065
2 9.985 8 .266
3 5.324 8 .722
4 1.488 8 .993
5 1.293 8 .996
6 2.442 8 .964
7 2.630 8 .955
8 2.185 8 .975

Block 1: Method=Forward Stepwise

B S.E. Wald df Sig Exp(B)
Step 1a χ19 1.331 .238 31.148 1 .000 3.783
Constant -2.179 .498 19.163 1 .000 .113
Step 2b χ6 8.078 1.784 20.498 1 .000 3222.223
χ19 1.505 .326 21.337 1 .000 4.502
Constant -5.303 1.058 25.140 1 .000 .005
Step 3c χ6 8.612 1.933 19.840 1 .000 5496.420
χ13 2.575 1.045 6.069 1 .014 13.132
χ19 1.565 .344 20.679 1 .000 4.781
Constant -5.623 1.131 24.707 1 .000 .004
Step 4d χ6 8.742 2.100 17.327 1 .000 6261.249
χ13 3.053 1.147 7.092 1 .008 21.181
χ19 1.414 .346 16.708 1 .000 4.113
χ20 1.407 .476 8.726 1 .003 4,084
Constant -8.125 1.714 22.461 1 .000 .000
Step 5e χ3 9.582 3.431 7.799 1 .005 14507.807
χ6 10.112 2.551 15.718 1 .000 24542.686
χ13 2.996 1.296 5.343 1 .021 20.014
χ19 1.442 .367 15.439 1 .000 4.228
χ20 1,807 .565 10.215 1 .001 6.090
Constant -10.309 2.299 20.112 1 .000 .000
Step 6f χ3 9.069 4.046 5.025 1 .025 6684.620
χ6 11.634 3.498 11.058 1 .001 112847.4
χ13 3.484 1.995 3.051 1 .081 32.594
χ16 6.081 2.339 6.760 1 .009 437.644
χ19 1.600 .439 13.263 1 .000 4.952
χ20 -1.441 .567 6.466 1 .011 4.226
Constant -10.717 2.602 16.962 1 .000 .000
Step 7f χ3 9.476 3.823 6.145 1 ..013 13046.413
χ6 11.407 3.426 11.087 1 .001 89911.947
χ16 6.297 2.295 7.530 1 .006 543.072
χ19 1.569 .427 13.501 1 .000 4.803
χ20 1.409 .552 6.519 1 .011 4.092
Constant -10.587 2.567 17.006 1 .000 .000
Step 8g χ3 10.142 4.362 5.405 1 .020 25399.128
χ5 -.276 .177 2.437 1 .119 .759
χ6 10.080 3.100 10.573 1 .001 23855.343
χ16 8.276 2.703 9.377 1 .002 3927.887
χ19 2.111 .596 12.547 1 .000 8.259
χ20 -1.404 .590 5.664 1 .017 4.071
Constant -10.562 2.787 14.365 1 .000 .000

Model Summary

-2 Log Cox&Snell Nagelkerke
Step likelihood R Square R Square
1 129.593a .316 444
2 77.879b .515 724
3 74.269c .527 740
4 63.951c .558 785
5 53.695d .588 826
6 45.133d .610 858
7 46.403d .607 853
8 39.481d .625 878
eISSN:
2444-8656
Idioma:
Inglés
Calendario de la edición:
Volume Open
Temas de la revista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics