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Sign and size asymmetry in the stock returns-implied volatility relationship

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  • Fousekis, Panos

Abstract

This work investigates the relation between stock returns and changes in risk perceptions using data from four pairs of stock and implied volatility indices and the non-parametric local regression approach. The results show that the association between the two variables is negative, contemporaneous, non-linear, and asymmetric with respect to the sign and to the size of stock returns. The underlying relationship for the stock markets in the EU, in the USA, and (to a large extent) in Australia has a reverse S-shape something that contrasts sharply with the theoretical postulates of fear and exuberance. The results from the Chinese market, however, are mixed; they support the fear postulate but not the exuberance one.

Suggested Citation

  • Fousekis, Panos, 2020. "Sign and size asymmetry in the stock returns-implied volatility relationship," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    • Handle: RePEc:eee:joecas:v:21:y:2020:i:c:s1703494920300098
    DOI: 10.1016/j.jeca.2020.e00162
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    1. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    2. Aboura, Sofiane & Chevallier, Julien, 2013. "Leverage vs. feedback: Which Effect drives the oil market?," Finance Research Letters, Elsevier, vol. 10(3), pages 131-141.
    3. Serra, Teresa & Gil, Jose Maria & Goodwin, Barry K., 2006. "Local Polynomial Fitting and Spatial Price Relationships: Price Transmission in the EU Markets for Pigmeat," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25388, International Association of Agricultural Economists.
    4. Jochen Meyer & Stephan von Cramon‐Taubadel, 2004. "Asymmetric Price Transmission: A Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 55(3), pages 581-611, November.
    5. repec:dau:papers:123456789/9860 is not listed on IDEAS
    6. Narayan, Paresh Kumar & Zheng, Xinwei, 2011. "The relationship between liquidity and returns on the Chinese stock market," Journal of Asian Economics, Elsevier, vol. 22(3), pages 259-266, June.
    7. Teresa Serra & Barry K. Goodwin & José M. Gil & Anthony Mancuso, 2006. "Non‐parametric Modelling of Spatial Price Relationships," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(3), pages 501-522, September.
    8. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    9. Tim Bollerslev & Julia Litvinova & George Tauchen, 2006. "Leverage and Volatility Feedback Effects in High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 4(3), pages 353-384.
    10. Cheekiat Low, 2004. "The Fear and Exuberance from Implied Volatility of S&P 100 Index Options," The Journal of Business, University of Chicago Press, vol. 77(3), pages 527-546, July.
    11. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    12. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    13. Chaiyuth Padungsaksawasdi & Robert T. Daigler, 2014. "The Return‐Implied Volatility Relation for Commodity ETFs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(3), pages 261-281, March.
    14. Holmes, Mark J. & Maghrebi, Nabil, 2016. "Financial market impact on the real economy: An assessment of asymmetries and volatility linkages between the stock market and unemployment rate," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 1-7.
    15. Teresa Serra & José M. Gil & Barry K. Goodwin, 2006. "Local polynomial fitting and spatial price relationships: price transmission in EU pork markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(3), pages 415-436, September.
    16. Hibbert, Ann Marie & Daigler, Robert T. & Dupoyet, Brice, 2008. "A behavioral explanation for the negative asymmetric return-volatility relation," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2254-2266, October.
    17. Ihsan Ullah Badshah, 2013. "Quantile Regression Analysis of the Asymmetric Return‐Volatility Relation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(3), pages 235-265, March.
    18. Patton, Andrew, 2013. "Copula Methods for Forecasting Multivariate Time Series," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 899-960, Elsevier.
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    More about this item

    Keywords

    Stock returns; Implied volatility; Non-linearity; Asymmetry;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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