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The decomposition of jump risks in individual stock returns

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  • Xiao, Xiao
  • Zhou, Chen

Abstract

This paper proposes a GARCH-jump mixed model for individual stock returns that takes into account four types of risks: the systematic and idiosyncratic jumps and the systematic and idiosyncratic diffusive volatility. By considering a general pricing kernel with all underlying risk factors, we decompose the expected stock return into four risk premiums related to the four types of risks. Empirically, we estimate the model jointly for daily stock returns and market returns and investigate the asset pricing consequences. We find that idiosyncratic jump intensity contributes a major part of the total jump intensity and idiosyncratic jumps are key determinants of expected stock return.

Suggested Citation

  • Xiao, Xiao & Zhou, Chen, 2018. "The decomposition of jump risks in individual stock returns," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 207-228.
    • Handle: RePEc:eee:empfin:v:47:y:2018:i:c:p:207-228
    DOI: 10.1016/j.jempfin.2018.04.002
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    Cited by:

    1. Chen, Xi & Wang, Junbo & Wu, Chunchi, 2022. "Jump and volatility risk in the cross-section of corporate bond returns," Journal of Financial Markets, Elsevier, vol. 60(C).
    2. Zhe Li, 2020. "Equity Option Pricing with Systematic and Idiosyncratic Volatility and Jump Risks," JRFM, MDPI, vol. 13(1), pages 1-18, January.
    3. Dutta, Anupam & Soytas, Ugur & Das, Debojyoti & Bhattacharyya, Asit, 2022. "In search of time-varying jumps during the turmoil periods: Evidence from crude oil futures markets," Energy Economics, Elsevier, vol. 114(C).

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    More about this item

    Keywords

    Jump–diffusion model; GARCH filtering; Asset pricing;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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