IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v15y2022i4p150-d778684.html
   My bibliography  Save this article

The Effect of Index Option Trading on Stock Market Volatility in China: An Empirical Investigation

Author

Listed:
  • Kai Wu

    (School of Finance, Central University of Finance and Economics, Beijing 102206, China)

  • Yi Liu

    (School of Business, Stevens Institute of Technology, Hoboken, NJ 07030, USA)

  • Weiyang Feng

    (Department of Mathematics, University of Chicago, Chicago, IL 60637, USA)

Abstract

In this study, we examine the effect of introducing SSE 50ETF index options trading on stock market volatility using a panel data evaluation approach. Based on the cross-sectional dependence among international stock indices and macroeconomic indicators, we estimate the counterfactual volatility of the SSE 50 index and find that the introduction of index options reduces stock market volatility significantly in the long term. The primary findings are robust to alternative econometric models, including principal component analysis, GARCH-family model, and LASSO regression. The results of this paper suggest that the introduction of SSE index options provides investors with risk management tools and improves price discovery in the stock market.

Suggested Citation

  • Kai Wu & Yi Liu & Weiyang Feng, 2022. "The Effect of Index Option Trading on Stock Market Volatility in China: An Empirical Investigation," JRFM, MDPI, vol. 15(4), pages 1-19, March.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:4:p:150-:d:778684
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/15/4/150/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/15/4/150/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Antoniou, Antonios & Koutmos, Gregory & Pericli, Andreas, 2005. "Index futures and positive feedback trading: evidence from major stock exchanges," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 219-238, March.
    2. Haiqiang Chen & Qian Han & Yingxing Li & Kai Wu, 2013. "Does Index Futures Trading Reduce Volatility in the Chinese Stock Market? A Panel Data Evaluation Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(12), pages 1167-1190, December.
    3. Gideon Bruce Arkorful & Haiqiang Chen & Xiaoqun Liu & Chuanhai Zhang, 2020. "The impact of options introduction on the volatility of the underlying equities: evidence from the Chinese stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 2015-2024, December.
    4. repec:wyi:journl:002169 is not listed on IDEAS
    5. Kwangwon Ahn & Yingyao Bi & Sungbin Sohn, 2019. "Price discovery among SSE 50 Index‐based spot, futures, and options markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(2), pages 238-259, February.
    6. Anderson, Heather M. & Vahid, Farshid, 2007. "Forecasting the Volatility of Australian Stock Returns: Do Common Factors Help?," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 76-90, January.
    7. Bai, ChongEn & Li, Qi & Ouyang, Min, 2014. "Property taxes and home prices: A tale of two cities," Journal of Econometrics, Elsevier, vol. 180(1), pages 1-15.
    8. John B. Corgel & Gerald D. Gay, 1984. "The Impact of GNMA Futures Trading on Cash Market Volatility," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 12(2), pages 176-190, June.
    9. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    10. Anand K. Bhattacharya & Anju Ramjee & Balasubramani Ramjee, 1986. "The causal relationship between futures price volatility and the cash price volatility of GNMA securities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 6(1), pages 29-39, March.
    11. Engle, Robert F. & Marcucci, Juri, 2006. "A long-run Pure Variance Common Features model for the common volatilities of the Dow Jones," Journal of Econometrics, Elsevier, vol. 132(1), pages 7-42, May.
    12. Martin T. Bohl & Christian A. Salm & Bernd Wilfling, 2011. "Do individual index futures investors destabilize the underlying spot market?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 81-101, January.
    13. Ali F. Darrat & Shafiqur Rahman, 1995. "Has futures trading activity caused stock price volatility?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(5), pages 537-557, August.
    14. Pierluigi Bologna & Laura Cavallo, 2002. "Does the introduction of stock index futures effectively reduce stock market volatility? Is the 'futures effect' immediate? Evidence from the Italian stock exchange using GARCH," Applied Financial Economics, Taylor & Francis Journals, vol. 12(3), pages 183-192.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang Gao & Bianxia Sun, 2018. "Impacts of Introducing Index Futures on Stock Market Volatilities: New Evidences from China," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-23, December.
    2. repec:wyi:journl:002169 is not listed on IDEAS
    3. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    4. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    5. Du, Zaichao & Yin, Hua & Zhang, Lin, 2022. "Foreign buyer taxes and house prices in Canada: A tale of two cities," Journal of Housing Economics, Elsevier, vol. 55(C).
    6. Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023. "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 86(C).
    7. Luya Wang & Zheng Li & Qi Li, 2023. "A Tale of Two Policies: Examining Treatment Effects on Housing Prices in Shenzhen, China," Annals of Economics and Finance, Society for AEF, vol. 24(2), pages 277-288, November.
    8. Funke, Michael & Leiva-Leon, Danilo & Tsang, Andrew, 2019. "Mapping China’s time-varying house price landscape," Regional Science and Urban Economics, Elsevier, vol. 78(C).
    9. J. Piplack & M. Beine & B. Candelon, 2009. "Comovements of Returns and Volatility in International Stock Markets: A High-Frequency Approach," Working Papers 09-10, Utrecht School of Economics.
    10. Martin T. Bohl & Jeanne Diesteldorf & Christian A. Salm & Bernd Wilfling, 2016. "Spot Market Volatility and Futures Trading: The Pitfalls of Using a Dummy Variable Approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 30-45, January.
    11. Funke, Michael & Tsang, Andrew & Zhu, Linxu, 2018. "Not all cities are alike: House price heterogeneity and the design of macro-prudential policies in China," BOFIT Discussion Papers 18/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    12. Du, Zaichao & Pei, Pei, 2021. "A simple and robust counterfactual impact evaluation," Economics Letters, Elsevier, vol. 207(C).
    13. Gianluca Cubadda & Alain Hecq & Antonio Riccardo, 2018. "Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector," CEIS Research Paper 445, Tor Vergata University, CEIS, revised 30 Oct 2018.
    14. Liberati, Danilo & Loberto, Michele, 2019. "Taxation and housing markets with search frictions," Journal of Housing Economics, Elsevier, vol. 46(C).
    15. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    16. Zhang, Muyang & Chen, Jie, 2018. "Unequal school enrollment rights, rent yields gap, and increased inequality: The case of Shanghai," China Economic Review, Elsevier, vol. 49(C), pages 229-240.
    17. Li, Kathleen T. & Bell, David R., 2017. "Estimation of average treatment effects with panel data: Asymptotic theory and implementation," Journal of Econometrics, Elsevier, vol. 197(1), pages 65-75.
    18. Funke, Michael & Tsang, Andrew & Zhu, Linxu, 2018. "Not all cities are alike: House price heterogeneity and the design of macro-prudential policies in China," BOFIT Discussion Papers 18/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    19. Zhu, Guozhong & Dale-Johnson, David, 2020. "Transition to the property tax in China: A dynamic general equilibrium analysis," Journal of Urban Economics, Elsevier, vol. 115(C).
    20. Zhang, Chuanhai & Chen, Haicui & Peng, Zhe, 2022. "Does Bitcoin futures trading reduce the normal and jump volatility in the spot market? Evidence from GARCH-jump models," Finance Research Letters, Elsevier, vol. 47(PB).
    21. repec:zbw:bofitp:2017_021 is not listed on IDEAS
    22. Carlos Viana de Carvalho & Ricardo Masini & Marcelo Cunha Medeiros, 2016. "The perils of Counterfactual Analysis with Integrated Processes," Textos para discussão 654, Department of Economics PUC-Rio (Brazil).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:15:y:2022:i:4:p:150-:d:778684. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.