Author/Authors
GEYİKÇİ, Umut Burak Celal Bayar Üniversitesi - İşletme Fakültesi, Turkey , KARAA, İbrahim Emre Celal Bayar Üniversitesi - Uygulamalı Bilimler Yüksekokulu, Turkey
Title Of Article
FAILURE PREDICTION OF MANUFACTURING COMPANIES LISTED IN BORSA ISTANBUL BY REGRESSION AND DISCRIMNANT
شماره ركورد
32643
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
From Page
389
NaturalLanguageKeyword
Failure prediction , Discriminant , Regression , Borsa Istanbul, Early warning
JournalTitle
Celal Bayar University Journal Of Social Sciences
To Page
410
JournalTitle
Celal Bayar University Journal Of Social Sciences
Link To Document