haku: @indexterm FINLAND / yhteensä: 889
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Tekijä:Laitinen, E. K.
Otsikko:Predicting a corporate credit analyst's risk estimate by logistic and linear models
Lehti:International Review of Financial Analysis
1999 : VOL. 8:2, p. 97-121
Asiasana:Credit management
Forecasting
Estimation
Risk
Models
Finland
Vapaa asiasana:Credit analysis
Kieli:eng
Tiivistelmä:The purpose is to predict corporate credit analysts' risk estimate by the weighted logistic and linear regression analyses. The data comprise filed register information from Finska (Suomen Asiakastieto Oy), incl. 35 variables from 3,200 companies. The results show that financial ratios do not play as important a role in credit rating as the background variables that describe payment history and the properties of the responsible persons. The shareholders' equity-to-total-assets ratio seems to be the most important ratio.
SCIMA tietueen numero: 201275
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