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Asymmetry in option implied volatility and yield: Evidence from China's ETF options market11Xiaoyijing Chen, PhD candidate. Research Interests: option pricing, financial derivatives. Siyuan Liu, master's student. Research Interests: option pricing, volatility model.Zailin Xu, PhD candidate. Research Interests: capital market, volatility model. Mei Yu, PhD, Professor, Doctoral Supervisor. Research Interests: capital market, risk management.,22Funding: This work was supported by “National Natural Science Foundation of China” (Grant number: 72073027); “National Natural Science Foundation of China” (Grant number: 72071046); “the Fundamental Research Funds for the Central Universities” in UIBE (Grant number: ZD6–01)

Author

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  • Chen, Xiaoyijing
  • Liu, Siyuan
  • Xu, Zailin
  • Yu, Mei

Abstract

This paper analyzes the changes in implied volatility and positive/negative returns of options using data from the China 50 ETF options and the CSI 300 ETF options. We employs quantile regression and least squares methods to explore the asymmetry between volatility and returns in the Chinese options market under different market capacities and time periods. The study reveals significant volatility-return asymmetry in both the China 50 ETF and the CSI 300 ETF markets, indicating that negative returns have a stronger impact on implied volatility changes than positive returns during the same period. Additionally, in both markets, the lagged changes in implied volatility are found to be an important determinant of current implied volatility changes. Differences in the underlying assets covered by the options and investor structures may influence the mechanisms of implied volatility changes and the asymmetry between volatility and returns. Furthermore, since the outbreak of the pandemic, investors' sensitivity and caution toward market information may weaken the asymmetry between volatility and returns.

Suggested Citation

  • Chen, Xiaoyijing & Liu, Siyuan & Xu, Zailin & Yu, Mei, 2024. "Asymmetry in option implied volatility and yield: Evidence from China's ETF options market11Xiaoyijing Chen, PhD candidate. Research Interests: option pricing, financial derivatives. Siyuan Liu, maste," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
  • Handle: RePEc:eee:pacfin:v:85:y:2024:i:c:s0927538x24001379
    DOI: 10.1016/j.pacfin.2024.102386
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    1. Mark Britten‐Jones & Anthony Neuberger, 2000. "Option Prices, Implied Price Processes, and Stochastic Volatility," Journal of Finance, American Finance Association, vol. 55(2), pages 839-866, April.
    2. Tobias Adrian & Joshua Rosenberg, 2008. "Stock Returns and Volatility: Pricing the Short‐Run and Long‐Run Components of Market Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2997-3030, December.
    3. Bakhtear Talukdar & Robert T. Daigler & A. M. Parhizgari, 2017. "Expanding the Explanations for the Return–Volatility Relation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(7), pages 689-716, July.
    4. Jupeng Li & Xiaoli Yu & Xingguo Luo, 2019. "Volatility index and the return–volatility relation: Intraday evidence from Chinese options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1348-1359, November.
    5. Dennis, Patrick & Mayhew, Stewart & Stivers, Chris, 2006. "Stock Returns, Implied Volatility Innovations, and the Asymmetric Volatility Phenomenon," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(2), pages 381-406, June.
    6. Jianping Li & Yanzhen Yao & Yibing Chen & Cheng-Few Lee, 2018. "Option prices and stock market momentum: evidence from China," Quantitative Finance, Taylor & Francis Journals, vol. 18(9), pages 1517-1529, September.
    7. Yaw‐Huei Wang & Kuang‐Chieh Yen, 2019. "The information content of the implied volatility term structure on future returns," European Financial Management, European Financial Management Association, vol. 25(2), pages 380-406, March.
    8. Breeden, Douglas T & Litzenberger, Robert H, 1978. "Prices of State-contingent Claims Implicit in Option Prices," The Journal of Business, University of Chicago Press, vol. 51(4), pages 621-651, October.
    9. Aït-Sahalia, Yacine & Fan, Jianqing & Li, Yingying, 2013. "The leverage effect puzzle: Disentangling sources of bias at high frequency," Journal of Financial Economics, Elsevier, vol. 109(1), pages 224-249.
    10. 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.
    11. Bart Frijns & Christian Tallau & Alireza Tourani‐Rad, 2010. "The information content of implied volatility: Evidence from Australia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(2), pages 134-155, February.
    12. Gurdip Bakshi & Nikunj Kapadia & Dilip Madan, 2003. "Stock Return Characteristics, Skew Laws, and the Differential Pricing of Individual Equity Options," The Review of Financial Studies, Society for Financial Studies, vol. 16(1), pages 101-143.
    13. Pratap Chandra Pati & Parama Barai & Prabina Rajib, 2018. "Forecasting stock market volatility and information content of implied volatility index," Applied Economics, Taylor & Francis Journals, vol. 50(23), pages 2552-2568, May.
    14. Bali, Turan G. & Engle, Robert F., 2010. "The intertemporal capital asset pricing model with dynamic conditional correlations," Journal of Monetary Economics, Elsevier, vol. 57(4), pages 377-390, May.
    15. DeMiguel, Victor & Plyakha, Yuliya & Uppal, Raman & Vilkov, Grigory, 2013. "Improving Portfolio Selection Using Option-Implied Volatility and Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(6), pages 1813-1845, December.
    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. Dzieliński, Michał & Rieger, Marc Oliver & Talpsepp, Tõnn, 2018. "Asymmetric attention and volatility asymmetry," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 59-67.
    18. Zhenlong Zheng & Zhengyun Jiang & Rong Chen, 2017. "AVIX: An Improved VIX Based on Stochastic Interest Rates and an Adaptive Screening Mechanism," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(4), pages 374-410, April.
    19. Bing Han & Gang Li, 2021. "Information Content of Aggregate Implied Volatility Spread," Management Science, INFORMS, vol. 67(2), pages 1249-1269, February.
    20. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    21. George J. Jiang & Yisong S. Tian, 2005. "The Model-Free Implied Volatility and Its Information Content," The Review of Financial Studies, Society for Financial Studies, vol. 18(4), pages 1305-1342.
    22. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    23. Peter Carr & Liuren Wu, 2009. "Variance Risk Premiums," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1311-1341, March.
    24. Chao Liang & Yu Wei & Yaojie Zhang, 2020. "Is implied volatility more informative for forecasting realized volatility: An international perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1253-1276, December.
    25. Manuel Ammann & Alexander Feser, 2019. "Option-implied Value-at-Risk and the cross-section of stock returns," Review of Derivatives Research, Springer, vol. 22(3), pages 449-474, October.
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    More about this item

    Keywords

    Ption; Implied volatility; Asymmetric relation;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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