haku: @journal_id 780 / yhteensä: 133
viite: 81 / 133
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