Preventive Detection of Economic Problems by means of Neuron Networks
AbstractThe methods of detecting economic problems at different levels are focused in this study with comments on their restrictions and shortcomings. A common analysis scheme is offered, using artificial intelligence systems – neuron networks, where the available patterns could be integrated and supplemented. A pattern is proposed to study the market index development and to analyze any potential collapses, which was tested to analyze the SOFIX index under the capital market conditions in Bulgaria.
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Bibliographic InfoArticle provided by Bulgarian Academy of Sciences - Economic Research Institute in its journal Economic Thought.
Volume (Year): (2010)
Issue (Month): 5 ()
Find related papers by JEL classification:
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
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- Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, 09.
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