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The role of jump dynamics in the risk–return relationship

Author

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  • Arshanapalli, Bala
  • Fabozzi, Frank J.
  • Nelson, William

Abstract

Surprisingly, a positive risk–return relationship has not been consistently observed for the traditional GARCH in the mean model in other studies. In this paper, we employ a combination of the jump diffusion and GARCH model in the mean equation to test the risk–return relationship for U.S. stock returns. The results suggest a statistically significant relationship between risk and return if the risk measure includes components of smoothly changing variance and jump events.

Suggested Citation

  • Arshanapalli, Bala & Fabozzi, Frank J. & Nelson, William, 2013. "The role of jump dynamics in the risk–return relationship," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 212-218.
  • Handle: RePEc:eee:finana:v:29:y:2013:i:c:p:212-218
    DOI: 10.1016/j.irfa.2012.11.004
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    References listed on IDEAS

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    Cited by:

    1. Jan Hanousek & Evžen Kočenda & Jan Novotný, 2016. "Shluková analýza skoků na kapitálových trzích [Cluster Analysis of Jumps on Capital Markets]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(2), pages 127-144.
    2. Jan Hanousek & Evzen Kocenda & Jan Novotny, 2014. "Price jumps on European stock markets," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 14(1), pages 10-22, March.
    3. Ahmed, Walid M.A., 2020. "Is there a risk-return trade-off in cryptocurrency markets? The case of Bitcoin," Journal of Economics and Business, Elsevier, vol. 108(C).
    4. Jan Novotn?? & Jan Hanousek & Ev??en Ko??enda, 2013. "Price Jump Indicators: Stock Market Empirics During the Crisis," William Davidson Institute Working Papers Series wp1050, William Davidson Institute at the University of Michigan.

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    More about this item

    Keywords

    Time-varying risk premium; Mixed GARCH; Jump diffusion model;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

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