A Financial Failure Prediction Model of Credit Union Cooperatives in Thailand
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Abstract
This research aimed to create a financial failure prediction model of credit union cooperatives in Thailand. This research applied discriminant analysis by using financial data of 210 credit union cooperatives in 2017 to construct the model. Then financial data of 419 credit union cooperatives during 2014 – 2016 were used to test the prediction models. The results showed that three financial ratios could be discriminate the distress cooperatives. These include the ratio of cash in hand to deposits, debt to capital, and return on assets. The prediction models testing for one-year, two-year, and three-year in advance showed that the accuracy was 89.02%, 88.78%, and 86.16%, respectively.
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