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Multi-factor volatility and stock returns

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  • He, Zhongzhi (Lawrence)
  • Zhu, Jie
  • Zhu, Xiaoneng

Abstract

In light of inconclusive evidence on the relation between market volatility and stock returns, this paper proposes a multi-factor volatility model and examines its impact on cross-sectional pricing. We also evaluate the out-of-sample performance and economic significance of multi-factor volatility. We find that conditional variances of the size and value dynamic factor earn significant and positive variance risk premia. In addition, multi-factor volatility can significantly improve the out-of-sample return predictability with a positive economic gain in asset allocation.

Suggested Citation

  • He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Multi-factor volatility and stock returns," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 132-149.
    • Handle: RePEc:eee:jbfina:v:61:y:2015:i:s2:p:s132-s149
    DOI: 10.1016/j.jbankfin.2015.09.013
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    More about this item

    Keywords

    Multi-factor volatility; Cross-sectional returns; Out-of-sample predictability; Asset allocation;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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