Does Herd Behavior Make the Market More Efficient?

Fitri Ismiyanti, Putu Anom Mahadwartha, Zunairoh, Santi Novita

Abstract

This study aims to analyze information asymmetry, uncertainty to market efficiency, information asymmetry, uncertainty to herd behavior, and herd behavior to market efficiency. This study examines the gap of previous research by the testing mechanism of disseminating information using experimental design. Therefore, the relationship between herd behavior and stock market efficiency can be clearly analyzed. It exercised an experimental design that includes a stock market treatment with the help of Hand-run Double Auction software. The analytical method used was the mean difference test, which shows that information asymmetry results in herd behavior occurrence, whereas market uncertainty does not cause herding. This contrasting situation also occurs when discussing the effect of information asymmetry and market efficiency uncertainty. The experiment used informants who acted as investors and totaled 60 persons. The simulation was divided into five sessions with different manipulations. The results show that uninformed investors who knew the price formation information could quickly adjust their investment decisions. Compared to uninformed investors, the insiders’ inefficient predicted prices supported the fact that uninformed investors became smarter in capturing information contained in actual prices through trading running texts. Meanwhile, uncertainty negatively affects market efficiency, and herd behavior positively affects market efficiency. When communication permitted and herd behavior was detected, the market became more efficient. Some of the research results are contrary to the empirical studies due to smarter investors and the individual investors’ learning process. The psychological factors of each investor can also influence investment decision-making.

Keywords: experimental design, information asymmetry, uncertainty, herd behavior


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References


CHAUHAN Y, AHMAD N, AGGARWAL V, & CHANDRA A. Herd behaviour and asset pricing in the Indian stock market. IIMB Management Review, 2020;32(2):143–52. https://doi.org/10.1016/j.iimb.2019.10.008

VINHVO X, BAO D, & PHAN A. Herd behavior and idiosyncratic volatility in a frontier market. Pacific-Basin Financial Journal, 2020; 53: 321-330, https://doi.org/10.1016/j.pacfin.2018.10.005

VO XV, BAO D, & PHAN A. Herding and equity market liquidity in emerging market. Evidence from Vietnam. Journal of Behavioral and Experimental Finance, 2019, 24: Article ID 100189. https://doi.org/10.1016/j.jbef.2019.02.002

SCHMITT N, & WESTERHOFF F. Herding behaviour and volatility clustering in financial markets. Quantitative Finance, 2017, 7688(February): 1–17. http://dx.doi.org/10.1080/14697688.2016.1267391

BIKHCHANDANI, S., D. HIRSHLEIFER, & WELCH I. A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades. Journal of Political Economy, 1992, 100(5): 992-1026.

MATEUS C, & TRUNG B. Frontier Markets , Liberalization and Informational Efficiency : Evidence from Vietnam. Asia-Pacific Financial Markets, 2021, Article ID (0123456789). https://doi.org/10.1007/s10690-021-09333-9

ALP E, KEUNG C, LAU M, & KAHYAOGLU H. Uncertainty and herding behavior : evidence from cryptocurrencies. Research in International Business and Finance, 2020, 54(2): Article ID 101284. https://doi.org/10.1016/j.ribaf.2020.101284

XIONG X, WANG C, & SHEN D. Market Participation Willingness and Investor's Herding Behavior: Evidence from an Emerging Market. Asia-Pacific Financial Markets, 2020; 27(3): 439–52. https://doi.org/10.1007/s10690-020-09302-8

PAPADAMOU S, KYRIAZIS NA, TZEREMES P, & CORBET S. Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets. Journal of Behavioral and Experimental Finance, 2021, 30: 100469. https://doi.org/10.1016/j.jbef.2021.100469

RASHIDI M. The pricing of information asymmetry based on environmental uncertainty and accounting conservatism. International Journal of Productivity and Performance Management 2021, ahead of print; https://doi.org/10.1108/IJPPM-10-2019-0502.

KAO L, & CHEN A. How a pre-IPO audit committee improves IPO pricing efficiency in an economy with little value uncertainty and information asymmetry. Journal of Banking and Finance, 2020, 110: article ID 105688. https://doi.org/10.1016/j.jbankfin.2019.105688

ECONOMOU F. Herding in frontier markets : evidence from the Balkan region. Review of Behavioral Finance, 2020, 12(2): 119–35.

GONG Y, WANG M, & DLUGOSCH D. Impacts of ambiguity aversion and information uncertainty on momentum : An international study. Pacific-Basin Financial Journal, 2019, 55(February): 1–28. https://doi.org/10.1016/j.pacfin.2019.01.011

KOTZIAN P, STOEBER T, HOOS F, PARIS HEC, & WEISSENBERGER BE. To be or not to be in the sample ? On using manipulation checks in experimental accounting research. Accounting Research Journal, 2020, 33(3): 469–82. Available from: http://www.emerald.com.unair.remotexs.co/insight/content/doi/10.1108/ARJ-06-2019-0128/full/html


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