• 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