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Modeling Shanghai stock market volatility

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  • J. Xu

Abstract

There is considerable quantitative research on stock market volatility internationally, but little on China's emerging stock markets. Using Shanghai daily stock return data, this paper studies models for stock market volatility by comparing GARCH, EGARCH and GJR‐GARCHmodels. We find that the GARCH model that accounts for time varying volatility is a suitable model. Copyright Kluwer Academic Publishers 1999

Suggested Citation

  • J. Xu, 1999. "Modeling Shanghai stock market volatility," Annals of Operations Research, Springer, vol. 87(0), pages 141-152, April.
    • Handle: RePEc:spr:annopr:v:87:y:1999:i:0:p:141-152:10.1023/a:1018916532180
    DOI: 10.1023/A:1018916532180
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    Cited by:

    1. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    2. Qingfeng Liu & Qingsong Yao & Guoqing Zhao, 2020. "Model averaging estimation for conditional volatility models with an application to stock market volatility forecast," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 841-863, August.
    3. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Conditional heteroscedasticity with leverage effect in stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 37(C), pages 89-102.
    4. repec:lan:wpaper:2594 is not listed on IDEAS
    5. Han Lin Shang & Yang Yang & Fearghal Kearney, 2019. "Intraday forecasts of a volatility index: functional time series methods with dynamic updating," Annals of Operations Research, Springer, vol. 282(1), pages 331-354, November.
    6. repec:lan:wpaper:2371 is not listed on IDEAS
    7. M. Karanasos & S. Yfanti & J. Hunter, 2022. "Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises," Annals of Operations Research, Springer, vol. 313(2), pages 1077-1116, June.
    8. repec:lan:wpaper:2452 is not listed on IDEAS
    9. Min Liu & Chien‐Chiang Lee & Wei‐Chong Choo, 2021. "An empirical study on the role of trading volume and data frequency in volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 792-816, August.
    10. Shenqiu Zhang & Ivan Paya & David Peel, 2009. "Linkages between Shanghai and Hong Kong stock indices," Applied Financial Economics, Taylor & Francis Journals, vol. 19(23), pages 1847-1857.
    11. Enrico Geretto & Rubens Pauluzzo, 2012. "Stock Exchange Markets in China: Structure and Main Problems," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 89-106, September.

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