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Persistence in the Russian Stock Market Volatility Indices

Author

Listed:
  • Guglielmo Maria Caporale
  • Luis A. Gil-Alana
  • Trilochan Tripathy

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.

Suggested Citation

  • Guglielmo Maria Caporale & Luis A. Gil-Alana & Trilochan Tripathy, 2018. "Persistence in the Russian Stock Market Volatility Indices," CESifo Working Paper Series 7243, CESifo.
    • Handle: RePEc:ces:ceswps:_7243
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    References listed on IDEAS

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    More about this item

    Keywords

    RTSVX; RVI; volatility; persistence; fractional integration; long memory;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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