Bankruptcy prediction in retail industry using logistic regression
Document Type
Article
Publication Date
12-1-2009
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. Copyright © 2009 by Emerald Group Publishing Limited.
Identifier
84886648849 (Scopus)
ISBN
[9781848558786]
Publication Title
Applications of Management Science
External Full Text Location
https://doi.org/10.1108/S0276-8976(2009)0000013006
ISSN
02768976
First Page
61
Last Page
69
Issue
FINANCIAL MODELIN
Volume
13
Recommended Citation
Lawrence, Kenneth D.; Pai, Dinesh R.; and Kleinman, Gary, "Bankruptcy prediction in retail industry using logistic regression" (2009). Faculty Publications. 11781.
https://digitalcommons.njit.edu/fac_pubs/11781
