BUSINESS SURVIVAL ASSESSMENT MODEL
Keywords:
Prediction Model and Survival BusinessAbstract
The purpose of this research is to develop a measurement model for Business bankruptcy and tools for financial risk management of survival business. The data for this study was based on the financial statements which were contained in the Stock Exchange of Thailand during 2012-2015. There were 95 companies with no financial problems or survival business and 28 companies with financial difficulties or survival business. The data was analyzed by logistic regression. This research developed additional models which based on financial ratio of cash flow, generating from operating activities by using the predicted logistic regression of the independent variables (financial ratio) toward the financial failure of companies. The result found that the efficiency of the regression equation used to predict companies that89.50 of financial strong companies, listed in the SET were predicted correctly. Moreover, 72.10% of financial problem companies were predicted correctly. On average, 76.40% of both types of companies were predicted by using Logistics Regression correctly.
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