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Internet postings and investor herd behavior: evidence from China’s open-end fund market

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  • Shifen Zhou

    (Dongguan Polytechnic)

  • Xiaojun Liu

    (Hunan University)

Abstract

The popularity of social media facilitates the dissemination of private information, which has significant implications for investors’ behavior and market efficiency. This paper examines the dynamic dependence between internet postings and herd behavior in China’s open-end fund market by applying the DCC-GARCH and TVP-SV-VAR models. The results show that the relationship between internet postings and herd behavior is time-varying and asymmetric. Specifically, internet postings have a negative effect on herd behavior, and the effect is more pronounced in the short term. Additionally, herd behavior will increase postings and further weaken the herding effect through the internet postings channel. Our results also show that the increase and decrease of postings have asymmetric effects on herd behavior, and the increase of postings has a greater effect on herd behavior.

Suggested Citation

  • Shifen Zhou & Xiaojun Liu, 2022. "Internet postings and investor herd behavior: evidence from China’s open-end fund market," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
  • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01462-4
    DOI: 10.1057/s41599-022-01462-4
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    as
    1. Chaiyuth Padungsaksawasdi & Sirimon Treepongkaruna & Robert Brooks, 2019. "Investor Attention and Stock Market Activities: New Evidence from Panel Data," IJFS, MDPI, vol. 7(2), pages 1-19, June.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. Wanidwaranan, Phasin & Padungsaksawasdi, Chaiyuth, 2022. "Unintentional herd behavior via the Google search volume index in international equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    4. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    5. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Herd behavior and equity market liquidity: Evidence from major markets," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 140-149.
    6. Nilabhra Bhattacharya & Elizabeth Demers & Philip Joos, 2010. "The Relevance of Accounting Information in a Stock Market Bubble: Evidence from Internet IPOs," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(3‐4), pages 291-321, April.
    7. Terence Tai-Leung Chong & Xiaojin Liu & Chenqi Zhu, 2017. "What Explains Herd Behavior in the Chinese Stock Market?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(4), pages 448-456, October.
    8. Klein, Arne C., 2013. "Time-variations in herding behavior: Evidence from a Markov switching SUR model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 291-304.
    9. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
    10. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    11. Fu, Jingxue & Wu, Lan, 2021. "Regime-switching herd behavior: Novel evidence from the Chinese A-share market," Finance Research Letters, Elsevier, vol. 39(C).
    12. Vozlyublennaia, Nadia, 2014. "Investor attention, index performance, and return predictability," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 17-35.
    13. Zhang, Xiaotao & Liang, Junpeng & He, Feng, 2019. "Private information advantage or overconfidence? Performance of intraday arbitrage speculators in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    14. Mobarek, Asma & Mollah, Sabur & Keasey, Kevin, 2014. "A cross-country analysis of herd behavior in Europe," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 107-127.
    15. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    16. Robert Engle, 2002. "New frontiers for arch models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 425-446.
    17. Nilabhra Bhattacharya & Elizabeth Demers & Philip Joos, 2010. "The Relevance of Accounting Information in a Stock Market Bubble: Evidence from Internet IPOs," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(3-4), pages 291-321.
    18. Brown Jr., William D. & Fernando, Guy D., 2011. "Whisper forecasts of earnings per share: Is anyone still listening?," Journal of Business Research, Elsevier, vol. 64(5), pages 476-482, May.
    19. Sanjiv Sabherwal & Salil K. Sarkar & Ying Zhang, 2011. "Do Internet Stock Message Boards Influence Trading? Evidence from Heavily Discussed Stocks with No Fundamental News," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(9-10), pages 1209-1237, November.
    20. Tantaopas, Parkpoom & Padungsaksawasdi, Chaiyuth & Treepongkaruna, Sirimon, 2016. "Attention effect via internet search intensity in Asia-Pacific stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 107-124.
    21. Kearney, Colm & Patton, Andrew J, 2000. "Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System," The Financial Review, Eastern Finance Association, vol. 35(1), pages 29-48, February.
    22. Houda Litimi, 2017. "Herd behavior in the French stock market," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 16(4), pages 497-515, November.
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    Cited by:

    1. Huisheng Wang & H. Vicky Zhao, 2024. "Optimal Investment under the Influence of Decision-changing Imitation," Papers 2409.10933, arXiv.org.

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