Financial Failure Estimation By Employing Logistic Regression Model: Application On Food, Beverage And Tobacco Companies Listed On The Borsa İstanbul
Journal Title: Muhasebe ve Finansman Dergisi - Year 2015, Vol 17, Issue 67
Abstract
Due to global financial crises, challenging and changing domestic and international economic conditions, the businesses that cannot gain competitive advantage by any reason face difficulties which eventually cause them to drift bankruptcy. Models for the prediction of financial distress fort he survive of the companies under these conditions are gaining are gaining considerable importance. In this paper it is aimed to predict financial distress of the companies by using financial reports of the firms listed on Borsa Istanbul under food beverage and tobacco industry by running logistic regression model for the period 2005-2012. The predictive power of the model for one year before, two years before and third years before is respectively 91%, 91% and 74,5 %. These results support that logistic model in the prediction of financial distress can be a useful and important tool. The model developed in this study will be useful for the evaluation of the companies performed by business management, investors, potential investors and other financial information users.
Authors and Affiliations
Kerem URAL, Şevin GÜRARDA, M. Burak ÖNEMLİ
Keywords
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