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A simple non-linear model with fractional integration for financial time series data

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Gil-Alana, Luis A.

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Abstract

This paper provides several examples of simple non-linear time series models with fractionally integrated disturbances. Both types of models (non-linear and fractional integration) have been widely used in recent years when modeling financial data. We use a testing procedure that permits us to test the order of integration in raw time series in the context of non-linear models. The tests are applied to several financial time series, the results showing that when the non-linear sign structure is taken into account, the order of integration of the series is much higher than one, finding thus conclusive evidence against mean reversion in their behavior.

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File URL: http://www.sciencedirect.com/science/article/B6W4W-4SDGR7G-1/2/79c26d247cd45cd7a649bdcd491e5b76
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Publisher Info
Article provided by Elsevier in its journal International Review of Financial Analysis.

Volume (Year): 17 (2008)
Issue (Month): 5 (December)
Pages: 838-848
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Handle: RePEc:eee:finana:v:17:y:2008:i:5:p:838-848

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Web page: http://www.elsevier.com/locate/inca/620166

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Related research
Keywords: Fractional integration Long memory Monte Carlo simulations Stock market;

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