INVESTIGATING ON APPLICABILITY OF FULMER AND ZMIJEWSKI MODELS IN PREDICTING BANKRUPTCY OF LISTED COMPANIES IN TEHRAN STOCK EXCHANGE MARKET
INVESTIGATING ON APPLICABILITY OF FULMER AND ZMIJEWSKI MODELS IN PREDICTING BANKRUPTCY OF LISTED COMPANIES IN TEHRAN STOCK EXCHANGE MARKET

Summary/Abstract: The objective of this study is first to test the prediction power of original fulmer and zmijewski models on the dataset of Iranian listed companies and secondly by applying multiple Discriminate Analysis and Logit analysis statistical techniques on the same dataset, develop a suitable prediction model for bankruptcy of listed companies in the economic environment of Iran. It was finally concluded that both original Zmijewski bankruptcy prediction model in without any modification of multipliers and coefficients and Logistic regression technique showed better prediction results than original fulmer model or discriminate analysis technique.

• Details
• Contents