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Preventive Detection of Economic Problems by means of Neuron Networks

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  • Stanimir Kabaivanov

Abstract

The 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.

Suggested Citation

  • Stanimir Kabaivanov, 2010. "Preventive Detection of Economic Problems by means of Neuron Networks," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 103-115.
    • Handle: RePEc:bas:econth:y:2010:i:5:p:103-115
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    References listed on IDEAS

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    1. Jones, E Philip & Mason, Scott P & Rosenfeld, Eric, 1984. "Contingent Claims Analysis of Corporate Capital Structures: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 39(3), pages 611-625, July.
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    3. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    4. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
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    More about this item

    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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