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Exposing volatility spillovers: A comparative analysis based on vector autoregressive models

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  • Philippas, Dionisis
  • Dragomirescu-Gaina, Catalin

Abstract

We present a comparative analysis of two empirical methods grounded on a common vector autoregressive framework. In this setting, we investigate the time-varying nature and direction of volatility spillovers between some major stock indexes spanning across Europe, China and US. We find evidence that drawing on partial Granger causality brings more robust results than relying on the information provided by generalized impulse responses, especially when there is uncertainty about what other relevant factors need to be modelled.

Suggested Citation

  • Philippas, Dionisis & Dragomirescu-Gaina, Catalin, 2016. "Exposing volatility spillovers: A comparative analysis based on vector autoregressive models," Finance Research Letters, Elsevier, vol. 18(C), pages 302-305.
    • Handle: RePEc:eee:finlet:v:18:y:2016:i:c:p:302-305
    DOI: 10.1016/j.frl.2016.05.002
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    References listed on IDEAS

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    1. Alter, Adrian & Beyer, Andreas, 2014. "The dynamics of spillover effects during the European sovereign debt turmoil," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 134-153.
    2. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    3. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    4. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
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    Cited by:

    1. Dragomirescu-Gaina, Catalin & Galariotis, Emilios & Philippas, Dionisis, 2021. "Chasing the ‘green bandwagon’ in times of uncertainty," Energy Policy, Elsevier, vol. 151(C).
    2. Dragomirescu-Gaina, Catalin & Philippas, Dionisis, 2022. "Local versus global factors weighing on stock market returns during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 46(PA).
    3. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2022. "Asymmetric risk transfer in global equity markets: An extended sample that includes the COVID pandemic period," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).

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    More about this item

    Keywords

    Partial Granger causality; Volatility spillovers; GIRFs;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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