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

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 (US)
Title of host publicationApplications of Management Science
EditorsKenneth Lawrence, Gary Kleinman
Pages61-69
Number of pages9
EditionFINANCIAL MODELIN
DOIs
StatePublished - Dec 1 2009

Publication series

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

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)

Fingerprint Dive into the research topics of 'Bankruptcy prediction in retail industry using logistic regression'. Together they form a unique fingerprint.

  • 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