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The fear of fear in the US stock market: Changing characteristics of the VVIX

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  • Albers, Stefan

Abstract

By analyzing the characteristics of Cboe’s volatility-of-volatility (vol-of-vol) index (VVIX), this study reveals that most but not all stylized facts of volatility are also applicable to the vol-of-vol. The VVIX exhibits robust mean reversion, distinct jumps in both directions, an asymmetric relationship with the S&P500 index, weak day-of-the-week effect, and fast incorporation of new market information. Surprisingly, results indicate a significant upward trend in its level that stems partly from a higher variation of the VIX and a higher vol-of-vol risk premium. An increased and robust correlation with the VIX matches the evolution of the VIX options market till 2013.

Suggested Citation

  • Albers, Stefan, 2023. "The fear of fear in the US stock market: Changing characteristics of the VVIX," Finance Research Letters, Elsevier, vol. 55(PA).
  • Handle: RePEc:eee:finlet:v:55:y:2023:i:pa:s1544612323002982
    DOI: 10.1016/j.frl.2023.103926
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    as
    1. Akbas, Ferhat & Boehmer, Ekkehart & Jiang, Chao & Koch, Paul D., 2022. "Overnight returns, daytime reversals, and future stock returns," Journal of Financial Economics, Elsevier, vol. 145(3), pages 850-875.
    2. Andreas Kaeck, 2018. "Variance-of-Variance Risk Premium," Review of Finance, European Finance Association, vol. 22(4), pages 1549-1579.
    3. Peixuan Yuan, 2022. "Time-Varying Skew in VIX Derivatives Pricing," Management Science, INFORMS, vol. 68(10), pages 7761-7791, October.
    4. Lou, Dong & Polk, Christopher & Skouras, Spyros, 2019. "A tug of war: Overnight versus intraday expected returns," Journal of Financial Economics, Elsevier, vol. 134(1), pages 192-213.
    5. Tim Bollerslev & George Tauchen & Hao Zhou, 2009. "Expected Stock Returns and Variance Risk Premia," The Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4463-4492, November.
    6. Bu, Ruijun & Fu, Xi & Jawadi, Fredj, 2019. "Does the volatility of volatility risk forecast future stock returns?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 16-36.
    7. Park, Yang-Ho, 2015. "Volatility-of-volatility and tail risk hedging returns," Journal of Financial Markets, Elsevier, vol. 26(C), pages 38-63.
    8. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    9. Bandi, Federico M. & Russell, Jeffrey R., 2006. "Separating microstructure noise from volatility," Journal of Financial Economics, Elsevier, vol. 79(3), pages 655-692, March.
    10. Ruan, Xinfeng, 2020. "Volatility-of-volatility and the cross-section of option returns," Journal of Financial Markets, Elsevier, vol. 48(C).
    11. Bollerslev, Tim & Marrone, James & Xu, Lai & Zhou, Hao, 2014. "Stock Return Predictability and Variance Risk Premia: Statistical Inference and International Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 633-661, June.
    12. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    13. Fei Sun & Yijun Hu, 2018. "Quasiconvex risk measures with markets volatility," Papers 1806.08701, arXiv.org, revised Jun 2019.
    14. Gurdip Bakshi & Dilip Madan, 2006. "A Theory of Volatility Spreads," Management Science, INFORMS, vol. 52(12), pages 1945-1956, December.
    15. Jungah Yoon & Xinfeng Ruan & Jin E. Zhang, 2022. "VIX option‐implied volatility slope and VIX futures returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1002-1038, June.
    16. Huang, Darien & Schlag, Christian & Shaliastovich, Ivan & Thimme, Julian, 2019. "Volatility-of-Volatility Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(6), pages 2423-2452, December.
    17. Zhou, Bin, 1996. "High-Frequency Data and Volatility in Foreign-Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 45-52, January.
    18. Peter Carr & Liuren Wu, 2009. "Variance Risk Premiums," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1311-1341, March.
    19. Junjie Hu & Wolfgang Karl Hardle & Weiyu Kuo, 2019. "Risk of Bitcoin Market: Volatility, Jumps, and Forecasts," Papers 1912.05228, arXiv.org, revised Dec 2021.
    20. Klein, Tony & Todorova, Neda, 2021. "Night trading with futures in China: The case of Aluminum and Copper," Resources Policy, Elsevier, vol. 73(C).
    21. Peter Reinhard Hansen & Asger Lunde, 2005. "A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 525-554.
    22. Fei Sun & Yijun Hu, 2018. "Systemic risk measures with markets volatility," Papers 1812.06185, arXiv.org, revised Jun 2019.
    23. Xuan Yao & Xiaofeng Hui & Kaican Kang, 2021. "Can night trading sessions improve forecasting performance of gold futures' volatility in China?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 849-860, August.
    24. Sofiane Aboura & Y. Eser Arisoy, 2017. "Does aggregate uncertainty explain size and value anomalies?," Applied Economics, Taylor & Francis Journals, vol. 49(32), pages 3214-3230, July.
    25. Itamar Drechsler & Amir Yaron, 2011. "What's Vol Got to Do with It," The Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 1-45.
    26. Xin Zang & Jun Ni & Jing-Zhi Huang & Lan Wu, 2017. "Double-jump diffusion model for VIX: evidence from VVIX," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 227-240, February.
    27. Jussi Nikkinen & Jarkko Peltomäki, 2020. "Crash Fears and Stock Market Effects: Evidence From Web Searches and Printed News Articles," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(2), pages 117-127, April.
    28. Zhuo Huang & Chen Tong & Tianyi Wang, 2019. "VIX term structure and VIX futures pricing with realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 72-93, January.
    29. Michael Donadelli & Marcus Jüppner & Antonio Paradiso & Christian Schlag, 2019. "Temperature Volatility Risk," Working Papers 2019:05, Department of Economics, University of Venice "Ca' Foscari".
    30. Li, Zhenxiong & Yao, Xingzhi & Izzeldin, Marwan, 2023. "On the right jump tail inferred from the VIX market," International Review of Financial Analysis, Elsevier, vol. 86(C).
    31. Te-Feng Chen & Tarun Chordia & San-Lin Chung & Ji-Chai Lin, 2022. "Volatility-of-Volatility Risk in Asset Pricing [Stock returns and volatility: Pricing the short-run and long-run components of market risk]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(1), pages 289-335.
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    More about this item

    Keywords

    VIX; VVIX; Volatility-of-volatility; Implied volatility; Stylized facts;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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