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Usefulness of Artificial Neural Networks for Predicting Financial and Economic Crisis

Author

Listed:
  • Mioara CHIRITA

    (Dunarea de Jos University of Galati, Romania)

  • Daniela SARPE

    (Dunarea de Jos University of Galati, Romania)

Abstract

The objective of the present study is to explore the issue of the forecasting of economic crisis using the neural network. The subject is of great importance in the economy, more so as that the most countries affected by crisis, declared on the end of 2010, the economic growth but the crisis paralyzed the financial world over the past three years. Neural network techniques have been frequently applied in order to predict problems like economic forecasting. The results show that creating a model using the neural networks might be a powerful tool and could be applied to prevent the economic crises.

Suggested Citation

  • Mioara CHIRITA & Daniela SARPE, 2011. "Usefulness of Artificial Neural Networks for Predicting Financial and Economic Crisis," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 44-48.
    • Handle: RePEc:ddj:fserec:y:2011:p:44-48
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    References listed on IDEAS

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