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Asymmetric effects and long memory in the volatility of Dow Jones stocks

Marcel Scharth () and Marcelo Medeiros ()

No 532, Textos para discussão from Department of Economics PUC-Rio (Brazil)

Abstract: Does volatility reflect a continuous reaction to past shocks or changes in the markets induce shifts in the volatility dynamics? In this paper, we provide empirical evidence that cumulated price variations convey meaningful information about multiple regimes in the realized volatility of stocks, where large falls (rises) in prices are linked to persistent regimes of high (low) variance in stock returns. Incorporating past cumulated daily returns as a explanatory variable in a flexible and systematic nonlinear framework, we estimate that falls of different magnitudes over less than two months are associated with volatility levels 20% and 60% higher than the average of periods with stable or rising prices. We show that this effect accounts for large empirical values of long memory parameter estimates. Finally, we analyze that the proposed model significantly improves out of sample performance in relation to standard methods. This result is more pronounced in periods of high volatility.

Keywords: Realized volatility; long memory; nonlinear models; asymmetric effects; regime switching; regression trees; smooth transition; value-at-risk; forecasting; empirical finance. (search for similar items in EconPapers)
Pages: 36p
Date: 2006-11
New Economics Papers: this item is included in nep-ets, nep-fmk, nep-for and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Journal Article: Asymmetric effects and long memory in the volatility of Dow Jones stocks (2009) Downloads
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