Bankruptcy Prediction in Retail Industry Using Logistic Regression

In view of the failure of high profile companies like Circuit City and Linens n Things, Financial distress or bankruptcy prediction has generated much interest recently. 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

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Year of publication:	2013
Authors:	Lawrence, Kenneth
Other Persons:	Pai, Dinesh Ramdas (contributor) ; Kleinman, Gary (contributor)
Publisher:	[2013]: [S.l.] : SSRN
Subject:	Insolvenz \| Insolvency \| Einzelhandel \| Retail trade \| Prognoseverfahren \| Forecasting model \| Regressionsanalyse \| Regression analysis \| Theorie \| Theory \| Logit-Modell \| Logit model
Description of contents:	Abstract [papers.ssrn.com]