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Implied volatility information of Chinese SSE 50 ETF options

Author

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  • Wu, Lingke
  • Liu, Dehong
  • Yuan, Jianglei
  • Huang, Zhenhuan

Abstract

This paper examines the impact of the implied volatility information in SSE 50 ETF options on the underlying securities volatility. After segmenting options according to option type, moneyness, time to maturity and trading years, we confirm that options contain implied volatility information about the underlying securities, and there is a significant positive effect of the volatility risk premium on the volatility of underlying securities. As for the regression coefficient of volatility risk premium, the call option is higher than the put option due to the investors' risk aversion, and the long-term option is higher than the short-term option. With the moneyness from DOTM to DITM, the call options decrease while the put options increase for the existence of skew and kurtosis risk.

Suggested Citation

  • Wu, Lingke & Liu, Dehong & Yuan, Jianglei & Huang, Zhenhuan, 2022. "Implied volatility information of Chinese SSE 50 ETF options," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 609-624.
  • Handle: RePEc:eee:reveco:v:82:y:2022:i:c:p:609-624
    DOI: 10.1016/j.iref.2022.07.009
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    as
    1. Yankun Chen & Jinghong Shu & Jin E. Zhang, 2016. "Investor sentiment, variance risk premium and delta-hedged gains," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2952-2964, July.
    2. 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.
    3. Johnson, Travis L. & So, Eric C., 2012. "The option to stock volume ratio and future returns," Journal of Financial Economics, Elsevier, vol. 106(2), pages 262-286.
    4. Della Corte, Pasquale & Ramadorai, Tarun & Sarno, Lucio, 2016. "Volatility risk premia and exchange rate predictability," Journal of Financial Economics, Elsevier, vol. 120(1), pages 21-40.
    5. Gurdip Bakshi & Nikunj Kapadia, 2003. "Delta-Hedged Gains and the Negative Market Volatility Risk Premium," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 527-566.
    6. Bekaert, Geert & Hoerova, Marie, 2014. "The VIX, the variance premium and stock market volatility," Journal of Econometrics, Elsevier, vol. 183(2), pages 181-192.
    7. Biao Guo & Qian Han & Bin Zhao, 2014. "The Nelson–Siegel Model of the Term Structure of Option Implied Volatility and Volatility Components," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(8), pages 788-806, August.
    8. Bardgett, Chris & Gourier, Elise & Leippold, Markus, 2019. "Inferring volatility dynamics and risk premia from the S&P 500 and VIX markets," Journal of Financial Economics, Elsevier, vol. 131(3), pages 593-618.
    9. Bali, Turan G. & Zhou, Hao, 2016. "Risk, Uncertainty, and Expected Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(3), pages 707-735, June.
    10. Chang, Bo Young & Christoffersen, Peter & Jacobs, Kris, 2013. "Market skewness risk and the cross section of stock returns," Journal of Financial Economics, Elsevier, vol. 107(1), pages 46-68.
    11. Neumann, Maximilian & Prokopczuk, Marcel & Wese Simen, Chardin, 2016. "Jump and variance risk premia in the S&P 500," Journal of Banking & Finance, Elsevier, vol. 69(C), pages 72-83.
    12. González-Urteaga, Ana & Rubio, Gonzalo, 2016. "The cross-sectional variation of volatility risk premia," Journal of Financial Economics, Elsevier, vol. 119(2), pages 353-370.
    13. Peter Carr & Liuren Wu, 2020. "Option Profit and Loss Attribution and Pricing: A New Framework," Journal of Finance, American Finance Association, vol. 75(4), pages 2271-2316, August.
    14. José Da Fonseca & Wenjun Zhang, 2019. "Volatility of volatility is (also) rough," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(5), pages 600-611, May.
    15. Almeida, Caio & Freire, Gustavo, 2022. "Pricing of index options in incomplete markets," Journal of Financial Economics, Elsevier, vol. 144(1), pages 174-205.
    16. Szakmary, Andrew & Ors, Evren & Kyoung Kim, Jin & Davidson, Wallace III, 2003. "The predictive power of implied volatility: Evidence from 35 futures markets," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2151-2175, November.
    17. Seo, Sung Won & Kim, Jun Sik, 2015. "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 106-120.
    18. Duan, Jin-Chuan & Yeh, Chung-Ying, 2010. "Jump and volatility risk premiums implied by VIX," Journal of Economic Dynamics and Control, Elsevier, vol. 34(11), pages 2232-2244, November.
    19. Prokopczuk, Marcel & Wese Simen, Chardin, 2014. "The importance of the volatility risk premium for volatility forecasting," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 303-320.
    20. Pyun, Sungjune, 2019. "Variance risk in aggregate stock returns and time-varying return predictability," Journal of Financial Economics, Elsevier, vol. 132(1), pages 150-174.
    21. Johnson, Travis L., 2017. "Risk Premia and the VIX Term Structure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(6), pages 2461-2490, December.
    22. Ramachandran, Lakshmi Shankar & Tayal, Jitendra, 2021. "Mispricing, short-sale constraints, and the cross-section of option returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 297-321.
    23. Fabian Hollstein & Marcel Prokopczuk & Björn Tharann & Chardin Wese Simen, 2019. "Predicting the equity market with option-implied variables," The European Journal of Finance, Taylor & Francis Journals, vol. 25(10), pages 937-965, July.
    24. Luis Goncalves-Pinto & Bruce D. Grundy & Allaudeen Hameed & Thijs van der Heijden & Yichao Zhu, 2020. "Why Do Option Prices Predict Stock Returns? The Role of Price Pressure in the Stock Market," Management Science, INFORMS, vol. 66(9), pages 3903-3926, September.
    25. Bruno Feunou & Ricardo Lopez Aliouchkin & Roméo Tedongap & Lai Xi, 2017. "Variance Premium, Downside Risk and Expected Stock Returns," Staff Working Papers 17-58, Bank of Canada.
    26. Sui, Cong & Lung, Peter & Yang, Mo, 2021. "Index option trading and equity volatility: Evidence from the SSE 50 and CSI 500 stocks," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 60-75.
    27. Cremers, Martijn & Weinbaum, David, 2010. "Deviations from Put-Call Parity and Stock Return Predictability," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 335-367, April.
    28. Linda Allen & Turan G. Bali & Yi Tang, 2012. "Does Systemic Risk in the Financial Sector Predict Future Economic Downturns?," The Review of Financial Studies, Society for Financial Studies, vol. 25(10), pages 3000-3036.
    29. Liu, Dehong & Qiu, Qi & Hughen, J. Christopher & Lung, Peter, 2019. "Price discovery in the price disagreement between equity and option markets: Evidence from SSE ETF50 options of China," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 557-571.
    30. Ge, Li & Lin, Tse-Chun & Pearson, Neil D., 2016. "Why does the option to stock volume ratio predict stock returns?," Journal of Financial Economics, Elsevier, vol. 120(3), pages 601-622.
    31. José Da Fonseca & Edem Dawui, 2021. "Semivariance and semiskew risk premiums in currency markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(3), pages 290-324, March.
    32. Oleg Bondarenko, 2014. "Why Are Put Options So Expensive?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 1-50.
    33. 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.
    34. Bernard Dumas & Jeff Fleming & Robert E. Whaley, 1998. "Implied Volatility Functions: Empirical Tests," Journal of Finance, American Finance Association, vol. 53(6), pages 2059-2106, December.
    35. Peter Carr & Liuren Wu, 2009. "Variance Risk Premiums," The Review of Financial Studies, Society for Financial Studies, vol. 22(3), pages 1311-1341, March.
    36. Sophie X Ni & Neil D Pearson & Allen M Poteshman & Joshua White & Andrew Karolyi, 2021. "Does Option Trading Have a Pervasive Impact on Underlying Stock Prices? [Equity market impact]," The Review of Financial Studies, Society for Financial Studies, vol. 34(4), pages 1952-1986.
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    More about this item

    Keywords

    Implied volatility information; Chinese SSE 50 ETF options; Volatility risk premium;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • G1 - Financial Economics - - General Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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