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A new method of measuring herding in stock market and its empirical results in Chinese A-share market

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  • Xie, Tian
  • Xu, Yi
  • Zhang, Xinsheng

Abstract

We propose a new method based on Arbitrage Pricing Theory to test herding pattern. With the innovative WCSV model, we theoretically prove that this method can test strong herding patterns while filtering out weaker ones, showing better discriminating power than previous methods; also, it can detect time points that affect the overall herding level. Empirically, we apply this method to Chinese A-share market and conclude that the market turmoil of Year 2007–2008 caused long-lasting herding with a decaying trend. Fama–French Three-Factor Model is proved to be an applicable underlying APT model in WCSV model with good model fitting and significant improvement compared to univariate CAPM. Also, we suggest that herding is a relative rather than absolute concept, which depends highly on the chosen benchmark.

Suggested Citation

  • Xie, Tian & Xu, Yi & Zhang, Xinsheng, 2015. "A new method of measuring herding in stock market and its empirical results in Chinese A-share market," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 324-339.
    • Handle: RePEc:eee:reveco:v:37:y:2015:i:c:p:324-339
    DOI: 10.1016/j.iref.2014.12.004
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    3. Fu, Jingxue & Wu, Lan, 2021. "Regime-switching herd behavior: Novel evidence from the Chinese A-share market," Finance Research Letters, Elsevier, vol. 39(C).
    4. Chen, Zhenxi & Zheng, Huanhuan, 2022. "Herding in the Chinese and US stock markets: Evidence from a micro-founded approach," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 597-604.
    5. Xolani Sibande & Rangan Gupta & Riza Demirer & Elie Bouri, 2023. "Investor Sentiment and (Anti) Herding in the Currency Market: Evidence from Twitter Feed Data," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 56-72, January.
    6. SENARATHNE W Chamil & JIANGUO Wei, 2018. "Do Investors Mimic Trading Strategies Of Foreign Investors Or The Market: Implications For Capital Asset Pricing," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 13(3), pages 171-205, December.
    7. BenMabrouk, Houda & Litimi, Houda, 2018. "Cross herding between American industries and the oil market," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 196-205.
    8. BenSaïda, Ahmed, 2017. "Herding effect on idiosyncratic volatility in U.S. industries," Finance Research Letters, Elsevier, vol. 23(C), pages 121-132.
    9. Ma, Pengcheng & Li, Daye & Li, Shuo, 2016. "Efficiency and cross-correlation in equity market during global financial crisis: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 163-176.
    10. Sibande, Xolani, 2024. "Herding behaviour and monetary policy: Evidence from the ZAR market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    11. Li, Zhuolei & Diao, Xundi & Wu, Chongfeng, 2022. "The influence of mobile trading on return dispersion and herding behavior," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    12. Zhenxi Chen & Jing Ru, 2021. "Herding and capitalization size in the Chinese stock market: a micro-foundation evidence," Empirical Economics, Springer, vol. 60(4), pages 1895-1911, April.
    13. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    14. Hui HONG & Shulin XU & Chien-Chiang LEE, 2020. "Investor Herding in the China Stock Market: An Examination of ChiNext," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 47-61, December.
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    16. Hong, Hui & Jiang, Lijun & Zhang, Cheng & Yue, Zhonggang, 2024. "Do conventional and new energy stock markets herd differently? Evidence from China," Research in International Business and Finance, Elsevier, vol. 67(PA).

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    More about this item

    Keywords

    Herding; Chinese A-share market; APT; Fama–French Three-Factor Model; Cross-sectional dispersion;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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