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Is the nonlinear hedge of options more effective?—Evidence from the SSE 50 ETF options in China

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  • Yu, Xiao-Jian
  • Wang, Zi-Ling
  • Xiao, Wei-Lin

Abstract

The linear hedging of the options ignores the characteristic of the nonlinear change of option prices with the underlying asset. This paper establishes the nonlinear hedging strategy followed the study by Hull and White (2017) to investigate the effectiveness on the Shanghai Stock Exchange (SSE) 50 ETF options. The results show that the nonlinear hedge of the Chinese option market is less effective than the U.S option market because of the short history and the lower activity of the Chinese option market. The effect of nonlinear hedging strategy is better than the linear hedging strategy for calls in China. But for puts, the effect of the nonlinear hedging strategy is not as significant as it for calls. The difference in the trading volume between calls and puts and the high short-sellingcost in the Chinese market are the main factors leading to the difference in hedge effectiveness. This paper suggests that the stock exchange could reduce margin standard of 50 ETF securities lending, promote a more flexible shorting mechanism, and accelerate the process of index options listed, so as to achieve hedging the risk of options more directly and efficiently.

Suggested Citation

  • Yu, Xiao-Jian & Wang, Zi-Ling & Xiao, Wei-Lin, 2020. "Is the nonlinear hedge of options more effective?—Evidence from the SSE 50 ETF options in China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ecofin:v:54:y:2020:i:c:s1062940818302948
    DOI: 10.1016/j.najef.2019.01.013
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    References listed on IDEAS

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    1. Gondzio, Jacek & Kouwenberg, Roy & Vorst, Ton, 2003. "Hedging options under transaction costs and stochastic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 1045-1068, April.
    2. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    3. Hong Yu Xin Pan & Jun Song, 2017. "Volatility cones and volatility arbitrage strategies – empirical study based on SSE ETF option," China Finance Review International, Emerald Group Publishing Limited, vol. 7(2), pages 203-227, May.
    4. 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.
    5. Coleman, Thomas F. & Levchenkov, Dmitriy & Li, Yuying, 2007. "Discrete hedging of American-type options using local risk minimization," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3398-3419, November.
    6. 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.
    7. Du, Brian & Fung, Scott & Loveland, Robert, 2018. "The informational role of options markets: Evidence from FOMC announcements," Journal of Banking & Finance, Elsevier, vol. 92(C), pages 237-256.
    8. Hull, John C & White, Alan D, 1987. "The Pricing of Options on Assets with Stochastic Volatilities," Journal of Finance, American Finance Association, vol. 42(2), pages 281-300, June.
    9. Hull, John & White, Alan, 2017. "Optimal delta hedging for options," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 180-190.
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