Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/217843 
Erscheinungsjahr: 
1983
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[Journal:] South African Journal of Business Management [ISSN:] 2078-5976 [Volume:] 14 [Issue:] 4 [Publisher:] African Online Scientific Information Systems (AOSIS) [Place:] Cape Town [Year:] 1983 [Pages:] 166-171
Verlag: 
African Online Scientific Information Systems (AOSIS), Cape Town
Zusammenfassung (übersetzt): 
The prediction of credit risk by means of biographic variables: Is this the answer? The objective of this study is to identify specific biographical variables, to quantity them and to investigate their relative importance in the prediction of credit risk. A representative sample of 250 bad credit risk clients and 250 good credit risk clients is used in the study. A multiple stepwise regression analysis and multiple stepwise discriminant analysis were carried out. Nine biographical variables were identified which explain approximately 16% of the variance of credit risk.
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