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Performance Evaluation and Forecasting Model for Retail Institution: A Study on Fisheries Cooperatives in Korea

Purpose - In this paper, based on the various management indexes that have been systematically managed by National Fisheries Cooperative Federation of Korea, we find a model to predict retail default. It is better than CAEL model in its failure prediction. Research design, data, methodology - The model to predict retail default was presented using the method of Logistic analysis. In order to develop the predict model, we use financial statements of retail of NFCF. Results - The statistical power analysis using hit ratio for failure (prediction) is 94%, indicating that it is temporally stable Conclusions - This model is useful for evaluating the management status of retail union institutions.

Abstract

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