Exploring herding behavior in an innovative-oriented stock market: evidence from ChiNext

Sin Huei Ng*, Zhehan Zhuang, Moau Yong Toh, Tze San Ong, Boon Heng Teh

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    9 Citations (Scopus)

    Abstract

    We adopt the cross-sectional absolute deviation model (CSAD) to test the herding behavior of ChiNext, a decade-old NASDAQ-style stock market in China, based on its stocks from 2015-2019. Our findings show that the herding behavior is prevalent, implying that such behavior is widespread in a relatively new stock market themed with growth-oriented innovative enterprises and dominated by individual investors instead of institutional investors. Moreover, we find that herding tends to be more severe during the periods of falling market than rising market. We explain that several distinct attributes of the individual investors cause them to sell during the falling market, an act contrary to the standard account of the “disposition effect of holding the losers” in behavioral finance. We contribute to the herding behavior literature for a relatively new innovative-oriented stock market as well as our understanding of the investors’ circumstances, which may disprove the often-quoted disposition effect.

    Original languageEnglish
    Pages (from-to)523-542
    Number of pages20
    JournalJournal of Applied Economics
    Volume25
    Issue number1
    Early online date4 Apr 2022
    DOIs
    Publication statusPublished - 31 Dec 2022

    User-Defined Keywords

    • ChiNext
    • cross-sectional absolute deviation (CSAD)
    • herding behavior
    • rising and falling markets

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