A dynamic hybrid model based on wavelets and fuzzy regression for time series estimation
Statistical Finance
2011-02-21 v1 Statistics Theory
Statistics Theory
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 index financial time series. The empirical tests show an efficiency of the hybrid model.
Keywords
Cite
@article{arxiv.1102.3702,
title = {A dynamic hybrid model based on wavelets and fuzzy regression for time series estimation},
author = {Olfa Zaafrane and Anouar Ben Mabrouk},
journal= {arXiv preprint arXiv:1102.3702},
year = {2011}
}
Comments
15 pages, 15 figures, 2 tables