%0 Journal Article
%T Comparing Bankruptcy Prediction Models in Iran
%A Ali Ebrahimi Kordlar
%A Nader Nikbakht
%J School of Doctoral Studies Journal
%D 2011
%I 
%X This paper compares the predictive power of a number of previous research models on bankruptcy prediction in Tehran Stock Exchange (TSE) from 2001 to 2009. To compare the predictive power of these models, the adjusted R2 (as In-sample metric) and root mean squared error (RMSE), mean absolute error (MAE) and mean absolute percent error (MAPC) (as out-of-sample prediction metrics). Finally, based on the estimation results of previous models in Iran, we present a final version logit type model that has higher performance than other models. The empirical results of In-sample and out-of-sample prediction power indicate that our presented model has higher adjusted R2 and lower RMSE, lower MAE and lower MAPC, too.
%K Bankruptcy prediction model
%K Logit model
%K Voung test
%K Tehran Stock Exchange
%K M41
%K C23
%U http://www.iiuedu.eu/press/journals/sds/SDS_2011/BME_Article3.pdf