Borsa İstanbul’a Kayıtlı İmalat İşletmelerinin İflaslarının Regresyon ve Diskriminant Yöntemleri İle Tahminlenmesi
Failure Prediction of Manufacturing Companies Listed in Borsa Istanbul by Regression and Discriminant Methods
Author(s): Umut Burak Geyikçi, İbrahim Emre KaraaSubject(s): Micro-Economics, Financial Markets, Accounting - Business Administration
Published by: Celal Bayar Üniversitesi Sosyal Bilimler Enstitüsü
Keywords: Failure prediction; Discriminant; Regression; Borsa Istanbul; Early warning;
Summary/Abstract: This study consists of 46 companies listed on Istanbul Stock Exchange on which 23 of them are bankrupted and the other 23 of them are non-bankrupted. Regression and discriminant analysis were conducted to the companies. According to the findings, the regression analysis is more succesfull than the discriminant analysis about the estimate power of the bankrupted companies. In this context, the best and consistent one in the applied methods is the regression equation in which each year was evaluated in itself. Estimate accuracy of the bankrupted companies are 86,95% for the previous year of bankruptcy, 86,95% for two years before the bakkruptcy, 78,26% for three years before the bankruptcy and 86,95% for four and five years before the bankruptcy.
Journal: Celal Bayar Üniversitesi Sosyal Bilimler Dergisi
- Issue Year: 14/2016
- Issue No: 02
- Page Range: 389-410
- Page Count: 22
- Language: Turkish