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Investor sentiment and the Chinese index futures market: Evidence from the internet search

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  • Xiaolin Wang
  • Qiang Ye
  • Feng Zhao
  • Yi Kou

Abstract

We use the search volume index in Baidu to reveal investor sentiment in the Chinese stock index futures market. We find that the abnormal search volume index predicts return reversal in the short term where the effect is mainly caused by the searches of investors who use personal computers rather than mobile devices. We also find that restriction on futures trading changes the relation between the abnormal search volume index and returns significantly. Overall, we provide a new set of results on the effects of investor sentiment on Chinese index futures markets.

Suggested Citation

  • Xiaolin Wang & Qiang Ye & Feng Zhao & Yi Kou, 2018. "Investor sentiment and the Chinese index futures market: Evidence from the internet search," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(4), pages 468-477, April.
    • Handle: RePEc:wly:jfutmk:v:38:y:2018:i:4:p:468-477
    DOI: 10.1002/fut.21893
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    1. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    2. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    3. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    4. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    5. Changyun Wang, 2001. "Investor Sentiment and Return Predictability in Agricultural Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(10), pages 929-952, October.
    6. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    7. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
    8. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    9. Kurov, Alexander, 2010. "Investor sentiment and the stock market's reaction to monetary policy," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 139-149, January.
    10. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
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    Cited by:

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    2. Bo Yan & Mengru Liang & Yinxin Zhao, 2024. "Market sentiment and price dynamics in weak markets: A comprehensive empirical analysis of the soybean meal option market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 744-766, May.
    3. Nikkinen, Jussi & Rothovius, Timo, 2019. "The EIA WPSR release, OVX and crude oil internet interest," Energy, Elsevier, vol. 166(C), pages 131-141.
    4. Geng, Yuedan & Ye, Qiang & Jin, Yu & Shi, Wen, 2022. "Crowd wisdom and internet searches: What happens when investors search for stocks?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    6. Ming‐Hung Wu & Wei‐Che Tsai & Pei‐Shih Weng & Dan‐Yi Li, 2021. "Effects of investor attention in China's commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1315-1332, August.
    7. Eric Jondeau & Xuewu Wang & Zhipeng Yan & Qunzi Zhang, 2020. "Skewness and index futures return," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1648-1664, November.
    8. Nikkinen, Jussi & Rothovius, Timo, 2019. "Energy sector uncertainty decomposition: New approach based on implied volatilities," Applied Energy, Elsevier, vol. 248(C), pages 141-148.
    9. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    10. Zhou, Liyun & Huang, Jialiang, 2020. "Excess co-movement of agricultural futures prices: Perspective from contagious investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    11. Chen, Rongda & Bao, Weiwei & Jin, Chenglu, 2021. "Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 112-129.

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