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Asymmetry in Stock Comovements: An Entropy Approach

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  • Jiang, Lei
  • Wu, Ke
  • Zhou, Guofu

Abstract

We provide an entropy approach for measuring the asymmetric comovement between the return on a single asset and the market return. This approach yields a model-free test for stock return asymmetry, generalizing the correlation-based test proposed by Hong, Tu, and Zhou (2007). Based on this test, we find that asymmetry is much more pervasive than previously thought. Moreover, our approach also provides an entropy-based measure of downside asymmetric comovement. In the cross section of stock returns, we find an asymmetry premium: Higher downside asymmetric comovement with the market indicates higher expected returns.

Suggested Citation

  • Jiang, Lei & Wu, Ke & Zhou, Guofu, 2018. "Asymmetry in Stock Comovements: An Entropy Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(4), pages 1479-1507, August.
    • Handle: RePEc:cup:jfinqa:v:53:y:2018:i:04:p:1479-1507_00
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    Cited by:

    1. Fousseni Chabi-Yo & Riccardo Colacito, 2019. "The Term Structures of Coentropy in International Financial Markets," Management Science, INFORMS, vol. 65(8), pages 3541-3558, August.
    2. Sebastien Valeyre & Sofiane Aboura & Denis Grebenkov, 2019. "The Reactive Beta Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(1), pages 71-113, March.
    3. Chen, Dongxu & Wu, Ke & Zhu, Yifeng, 2022. "Stock return asymmetry in China," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    4. Lei Jiang & Esfandiar Maasoumi & Jiening Pan & Ke Wu, 2018. "A test of general asymmetric dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1026-1043, November.
    5. Shahzad, Syed Jawad Hussain & Bouri, Elie & Kayani, Ghulam Mujtaba & Nasir, Rana Muhammad & Kristoufek, Ladislav, 2020. "Are clean energy stocks efficient? Asymmetric multifractal scaling behaviour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    6. Lassance, Nathan & Vrins, Frédéric, 2023. "Portfolio selection: A target-distribution approach," European Journal of Operational Research, Elsevier, vol. 310(1), pages 302-314.
    7. Cheema, Arbab K. & Eshraghi, Arman & Wang, Qingwei, 2023. "Macroeconomic news and price synchronicity," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 390-412.
    8. Alcock, Jamie & Sinagl, Petra, 2022. "International determinants of asymmetric dependence in investment returns," Journal of International Money and Finance, Elsevier, vol. 122(C).
    9. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    10. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2022. "Realized semibetas: Disentangling “good” and “bad” downside risks," Journal of Financial Economics, Elsevier, vol. 144(1), pages 227-246.
    11. O‐Chia Chuang & Xiaojun Song & Abderrahim Taamouti, 2022. "Testing for Asymmetric Comovements," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1153-1180, October.
    12. Yue Chen & Juan Lin & Ximing Wu, 2022. "Revisiting the return‐volatility relationship of exchange rates: New evidence from offshore RMB," Pacific Economic Review, Wiley Blackwell, vol. 27(3), pages 277-294, August.

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