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Multivariate stochastic volatility with large and moderate shocks

Author

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  • Marwan Izzeldin
  • Mike G. Tsionas
  • Panayotis G. Michaelides

Abstract

The paper proposes a multivariate stochastic volatility model where shifts in volatility are endogenously driven by large return shocks. The model proposed generalizes the univariate stochastic volatility model of Dendramis and colleagues to a multivariate context. Allowing for multivariate dependence permits the volatility of common return factors to affect individual stock returns volatility jointly. The model is further extended to allow for endogenous thresholds that depend on covariates. Model selection priors are introduced and the new techniques are applied by using data from the FTSE100‐index.

Suggested Citation

  • Marwan Izzeldin & Mike G. Tsionas & Panayotis G. Michaelides, 2019. "Multivariate stochastic volatility with large and moderate shocks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(3), pages 887-917, June.
    • Handle: RePEc:bla:jorssa:v:182:y:2019:i:3:p:887-917
    DOI: 10.1111/rssa.12443
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    Cited by:

    1. Xianfei Hui & Baiqing Sun & Hui Jiang & Yan Zhou, 2022. "Modeling dynamic volatility under uncertain environment with fuzziness and randomness," Papers 2204.12657, arXiv.org, revised Oct 2022.

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