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Testing and modeling jump contagion across international stock markets: A nonparametric intraday approach

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  • Jawadi, Fredj
  • Louhichi, Waël
  • Idi Cheffou, Abdoulkarim

Abstract

We investigate the contagion hypothesis between the United States and three European markets (Germany, the United Kingdom, and France). We focus on realized volatility, which we break down into continuous and jump parts, and we test the contagion hypothesis between jumps during overlapping and non-overlapping hours. We find a significant relation between jumps and realized volatility and spillover effects between jumps. The U.S. market plays the leading role during overlapping hours, but regional contagion is more obvious during non-overlapping hours. Interestingly, jump contagion effects exhibit asymmetry and nonlinearity, and vary according to regimes. Accordingly, we improve jump modeling and spillover.

Suggested Citation

  • Jawadi, Fredj & Louhichi, Waël & Idi Cheffou, Abdoulkarim, 2015. "Testing and modeling jump contagion across international stock markets: A nonparametric intraday approach," Journal of Financial Markets, Elsevier, vol. 26(C), pages 64-84.
    • Handle: RePEc:eee:finmar:v:26:y:2015:i:c:p:64-84
    DOI: 10.1016/j.finmar.2015.09.004
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    More about this item

    Keywords

    Jump contagion effect; Realized volatility; Overlapping and non-overlapping trading hours; Nonparametric test; Threshold autoregressive models;
    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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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