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Predicting the volatility of the iShares China Large-Cap ETF: What is the role of the SSE 50 ETF?

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  • Zhu, Fangfei
  • Luo, Xingguo
  • Jin, Xuejun

Abstract

This study investigates whether the volatility of the Shanghai Stock Exchange (SSE) 50 ETF contains useful information for predicting the volatility of the U.S.-traded iShares China Large-Cap ETF (FXI). We use both in-sample and out-of-sample predictive regressions to empirically show that the realized volatility of the SSE 50 ETF significantly improves the forecasts of the future FXI realized volatility. We also find that the realized volatility of the SSE 50 ETF has predictive power for the future implied volatility of the FXI, which is calculated from the U.S. options market. However, the empirical results show that both the realized volatility and implied volatility of the FXI have limited explanatory ability for the realized volatility of the SSE 50 ETF.

Suggested Citation

  • Zhu, Fangfei & Luo, Xingguo & Jin, Xuejun, 2019. "Predicting the volatility of the iShares China Large-Cap ETF: What is the role of the SSE 50 ETF?," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
  • Handle: RePEc:eee:pacfin:v:57:y:2019:i:c:s0927538x19301040
    DOI: 10.1016/j.pacfin.2019.101192
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    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. Westerlund, Joakim & Narayan, Paresh Kumar & Zheng, Xinwei, 2015. "Testing for stock return predictability in a large Chinese panel," Emerging Markets Review, Elsevier, vol. 24(C), pages 81-100.
    3. Lior Menzly & Oguzhan Ozbas, 2010. "Market Segmentation and Cross‐predictability of Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1555-1580, August.
    4. 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.
    5. Jianhui Li & Sebastian A. Gehricke & Jin E. Zhang, 2019. "How do US options traders “smirk” on China? Evidence from FXI options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(11), pages 1450-1470, November.
    6. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    7. Bryan Kelly & Seth Pruitt, 2013. "Market Expectations in the Cross-Section of Present Values," Journal of Finance, American Finance Association, vol. 68(5), pages 1721-1756, October.
    8. David E. Rapach & Jack K. Strauss & Guofu Zhou, 2013. "International Stock Return Predictability: What Is the Role of the United States?," Journal of Finance, American Finance Association, vol. 68(4), pages 1633-1662, August.
    9. Chen, Jian & Jiang, Fuwei & Liu, Yangshu & Tu, Jun, 2017. "International volatility risk and Chinese stock return predictability," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 183-203.
    10. Kalok Chan & Albert J. Menkveld & Zhishu Yang, 2008. "Information Asymmetry and Asset Prices: Evidence from the China Foreign Share Discount," Journal of Finance, American Finance Association, vol. 63(1), pages 159-196, February.
    11. Paye, Bradley S., 2012. "‘Déjà vol’: Predictive regressions for aggregate stock market volatility using macroeconomic variables," Journal of Financial Economics, Elsevier, vol. 106(3), pages 527-546.
    12. Luo, Xingguo & Ye, Zinan, 2015. "Predicting volatility of the Shanghai silver futures market: What is the role of the U.S. options market?," Finance Research Letters, Elsevier, vol. 15(C), pages 68-77.
    13. Joakim Westerlund & Paresh K Narayan & Xinwei Zheng, "undated". "Testing For Stock Return Predictability In A Large Chinese Panel," Working Papers 2015_11, Deakin University, Department of Economics.
    14. Goh, Jeremy C. & Jiang, Fuwei & Tu, Jun & Wang, Yuchen, 2013. "Can US economic variables predict the Chinese stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 22(C), pages 69-87.
    15. Chunxin Jia & Yaping Wang & Wei Xiong, 2017. "Market Segmentation and Differential Reactions of Local and Foreign Investors to Analyst Recommendations," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 2972-3008.
    16. Chen, Jian & Jiang, Fuwei & Li, Hongyi & Xu, Weidong, 2016. "Chinese stock market volatility and the role of U.S. economic variables," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 70-83.
    17. Xiaoqing Eleanor Xu & Hung–Gay Fung, 2002. "Information Flows across Markets: Evidence from China–Backed Stocks Dual–Listed in Hong Kong and New York," The Financial Review, Eastern Finance Association, vol. 37(4), pages 563-588, November.
    Full references (including those not matched with items on IDEAS)

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