M.A. Thesis:

compare models accurately predicted the bankruptcy of small and medium-szedcompanies andlarge companies

Abstract One of the most important threats to the national economy, the bankruptcy of companies Ast.arzyaby bankruptcy, provides valuable information by which governments, investors and shareholders are able to make financial decisions in order to avoid losses founded their potential. The aim of this study was to investigate the accuracy of prediction of bankruptcy in small and medium enterprises to large industries based on models to predict financial crises Altman, Fulmer, Ahlson, Zmijewski's and Springate is in Tehran Stock Exchange. The data five years (1389 to 1393) firms listed in the Tehran Stock Exchange were examined and the total number of companies each year, 155 companies. In this study, logistic regression was used to test the research model. The results showed that a total of predicting the bankruptcy of small and medium enterprises to large industries based on models Altman, elf, Ahlsvn, Zmijewski's trust and careful Springate.

Keywords: bankruptcy, Altman, Fulmer, Ahlson, Zmijewski's and Springate