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A dynamic hybrid model based on wavelets and fuzzy regression for time series estimation

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  • Olfa Zaafrane
  • Anouar Ben Mabrouk

Abstract

In the present paper, a fuzzy logic based method is combined with wavelet decomposition to develop a step-by-step dynamic hybrid model for the estimation of financial time series. Empirical tests on fuzzy regression, wavelet decomposition as well as the new hybrid model are conducted on the well known $SP500$ index financial time series. The empirical tests show an efficiency of the hybrid model.

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  • Olfa Zaafrane & Anouar Ben Mabrouk, 2011. "A dynamic hybrid model based on wavelets and fuzzy regression for time series estimation," Papers 1102.3702, arXiv.org.
    • Handle: RePEc:arx:papers:1102.3702
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    File URL: http://arxiv.org/pdf/1102.3702
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    References listed on IDEAS

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    1. Ines Kahloul & Anouar Ben Mabrouk & Slah-Eddine Hallara, 2010. "Wavelet-Based Prediction for Governance, Diversification and Value Creation Variables," Papers 1011.5020, arXiv.org.
    2. Anouar Ben Mabrouk & Hedi Kortas & Samir Ben Ammou, 2009. "Wavelet Estimators For Long Memory In Stock Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 297-317.
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