A comparison of prediction results for financial failure models of companies listed on the stock exchange of Thailand

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อภิชาติ นามคง
พิทักษ์ ศรีสุขใส

Abstract

Abstract


The objectives of this study were to examine and compare the results of Altman
Z-Score model, Logit model, Probit model and Tobit Model in predicting the financial failure of listed company in SET. The secondary data of 90 listed companies were used from 2012 to 2017. The research found that the most accurate and appropriate model for predicting the financial failure was the Logit model. The second predictive power was Probit model. The model which had the lowest predictive accuracy was Altman Z-Score model. The best financial ratios that could identify the financial failure problem by applying Tobit model with dependent variables of the probability of financial failure problem and the zero lower limit were the long-term debt to total asset ratio, retained earnings to total assets ratio and working capital to total asset ratio.


Keywords: 1) Z-Score Model 2) Financial failure 3) Logit 4) Probit 5) Tobit


 

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How to Cite
นามคงอ., & ศรีสุขใสพ. (2019). A comparison of prediction results for financial failure models of companies listed on the stock exchange of Thailand. Journal of Business, Economics and Communications, 14(3), 13-26. Retrieved from https://so02.tci-thaijo.org/index.php/BECJournal/article/view/148995
Section
บทความวิจัย (Research article)

References

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