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Persistence in the Russian Stock Market Volatility Indices

Caporale Guglielmo Maria, Luis Gil-Alana () and Trilochan Tripathy

No 7243, CESifo Working Paper Series from CESifo Group Munich

Abstract: This paper applies a fractional integration framework to analyse the stochastic behaviour of two Russian stock market volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period 2010-2018. The empirical findings are consistent and imply in all cases that the two series are mean-reverting, i.e. they are not highly persistent and the effects of shocks disappear over time. This is true regardless of whether the errors are assumed to follow a white noise or autocorrelated process, it is confirmed by the rolling window estimation, and it holds for both subsamples, before and after the detected break. On the whole, it seems that shocks do not have permanent effects on investor sentiment in the Russian stock market.

Keywords: RTSVX; RVI; volatility; persistence; fractional integration; long memory (search for similar items in EconPapers)
JEL-codes: C22 G12 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cis, nep-fmk and nep-tra
Date: 2018
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