Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/217843 
Year of Publication: 
1983
Citation: 
[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
Publisher: 
African Online Scientific Information Systems (AOSIS), Cape Town
Abstract (Translated): 
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.
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.