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An Early Warning System for Turkey: The Forecasting Of Economic Crisis by Using the Artificial Neural Networks

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  • Fuat Sekmen
  • Murat Kurkcu

Abstract

An economic crisis is typically a rare kind of an event but it impedes monetary stability, fiscal stability, financial stability, price stability, and sustainable economic development when it appears. Economic crises have huge adverse effects on economic and social system. This study uses an artificial neural network learning paradigm to predict economic crisis events for early warning aims. This paradigm is being preferred due to its flexible modeling capacity and can be applied easily to any time series since it does not require prior conditions such as stationary or normal distribution. The present article analyzes economic crises occurred in Turkey for the period 1990-2011. The main question addressed in this paper is whether currency crises can be estimated by using artificial neural networks.

Suggested Citation

  • Fuat Sekmen & Murat Kurkcu, 2014. "An Early Warning System for Turkey: The Forecasting Of Economic Crisis by Using the Artificial Neural Networks," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 529-543.
    • Handle: RePEc:asi:aeafrj:v:4:y:2014:i:4:p:529-543:id:1176
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    Cited by:

    1. Seyma Caliskan Cavdar & Alev Dilek Aydin, 2015. "An Empirical Analysis for the Prediction of a Financial Crisis in Turkey through the Use of Forecast Error Measures," JRFM, MDPI, vol. 8(3), pages 1-18, August.

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