Neuro-Fuzzy Modeling of Financial Crises in Corporate Systems
Journal Title: Проблеми економіки - Year 2015, Vol 2015, Issue 4
Abstract
The article is devoted to developing a complex of models to evaluate the threat of formatting financial crises in corporate systems of Ukraine’s agricultural industry. The conceptual approach to the development and implementation of such econometric models has been suggested. The models for evaluating the propensity of the financial and industrial group as well as the corporation subsidiaries to bankruptcy by fuzzy neural networks have been built. A model for evaluating the impact of a financial crisis at the subsidiary on the financial state of the corporation as a whole has been developed. Conclusions on the current state of the corporation "Biscuit-Chocolate" and its five subsidiaries have been made. The method of "caterpillar" to build models for predicting the future values of parameters for the corporate system enterprises has been proposed. Recommendations on the implementation of anti-crisis measures in the corporation have been given.
Authors and Affiliations
Vitalii Gvozdytskyi, Tamara Klebanova
Keywords
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