Bankruptcy prediction in retail industry using logistic regression

Kenneth D. Lawrence, Dinesh R. Pai, Gary Kleinman

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations


In view of the failure of high-profile companies such as Circuit City and Linens n Things, Financial distress or bankruptcy prediction of retail and other firms has generated much interest recently. Recent economic conditions have led to predictions of a wave of retail bankruptcies (e.g., McCracken and O'Connell, 2009). This research develops and tests a model for the prediction of bankruptcy of retail firms. We use accounting variables such as inventories, liabilities, receivables, net income (loss), and revenue. Some guiding discriminate rule is given, and a few factors were identified as measures of a profitable company.

Original languageEnglish
Title of host publicationApplications of Management Science
EditorsKenneth Lawrence, Gary Kleinman
Number of pages9
StatePublished - 1 Dec 2009

Publication series

NameApplications of Management Science
ISSN (Print)0276-8976

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    Lawrence, K. D., Pai, D. R., & Kleinman, G. (2009). Bankruptcy prediction in retail industry using logistic regression. In K. Lawrence, & G. Kleinman (Eds.), Applications of Management Science (FINANCIAL MODELIN ed., pp. 61-69). (Applications of Management Science; Vol. 13, No. FINANCIAL MODELIN).