Bankruptcy prediction in retail industry using logistic regression

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

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
Pages61-69
Number of pages9
EditionFINANCIAL MODELIN
DOIs
StatePublished - 1 Dec 2009

Publication series

NameApplications of Management Science
NumberFINANCIAL MODELIN
Volume13
ISSN (Print)0276-8976

Fingerprint

Retail industry
Retail
Logistic regression
Bankruptcy prediction
Prediction
Bankruptcy
Financial distress
Net income
Factors
Revenue
Liability
Economic conditions

Cite this

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). https://doi.org/10.1108/S0276-8976(2009)0000013006
Lawrence, Kenneth D. ; Pai, Dinesh R. ; Kleinman, Gary. / Bankruptcy prediction in retail industry using logistic regression. Applications of Management Science. editor / Kenneth Lawrence ; Gary Kleinman. FINANCIAL MODELIN. ed. 2009. pp. 61-69 (Applications of Management Science; FINANCIAL MODELIN).
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Lawrence, KD, Pai, DR & Kleinman, G 2009, Bankruptcy prediction in retail industry using logistic regression. in K Lawrence & G Kleinman (eds), Applications of Management Science. FINANCIAL MODELIN edn, Applications of Management Science, no. FINANCIAL MODELIN, vol. 13, pp. 61-69. https://doi.org/10.1108/S0276-8976(2009)0000013006

Bankruptcy prediction in retail industry using logistic regression. / Lawrence, Kenneth D.; Pai, Dinesh R.; Kleinman, Gary.

Applications of Management Science. ed. / Kenneth Lawrence; Gary Kleinman. FINANCIAL MODELIN. ed. 2009. p. 61-69 (Applications of Management Science; Vol. 13, No. FINANCIAL MODELIN).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Lawrence KD, Pai DR, Kleinman G. Bankruptcy prediction in retail industry using logistic regression. In Lawrence K, Kleinman G, editors, Applications of Management Science. FINANCIAL MODELIN ed. 2009. p. 61-69. (Applications of Management Science; FINANCIAL MODELIN). https://doi.org/10.1108/S0276-8976(2009)0000013006