Herding Behavior in Indonesian Investors
DOI:
https://doi.org/10.21632/irjbs.11.2.129-143Keywords:
Herding Behavior, LQ 45, stock index, Vector Autoregression (VARAbstract
This research attempts to investigate the herding behavior of the companies that invested in IDX LQ45 Index during 2014 through 2016. Herd behavior is the tendency of investors to follow other investors’ actions in the market. LQ45 was chosen as it comprises the most heavily-traded stocks of the Indonesian Stock Exchange. This research used Vector Autoregressive model to determine the effects of size and market return on the herding behavior. The Granger causality test suggests that there are dynamic interactions: (i) between size and herding behavior; and (ii) between market return and herding behavior. In addition, Variance Decomposition and Impulse Response reveal that market capitalization (size) has variable of the greater role in defining herding behavior, compared to that of market return.
References
Al-Shboul, M. (2012). Asymmetric Effects and the Herd Behavior in the Australian Equity Market. International Journal of Business and Management, 7(7), 121-140.
Baddeley, A. (2012). Working Memory: Theories, Models, and Controversies. Annual Review of Psychology, 63, 1-29.
Banerjee, A.V., (1992). A Simple Model of Herd Behavior. The Quarterly Journal of Economics, 107(3), 797-817.
Bickhandani, S. & Sharma, S. (2001). Herd Behavior in Financial Markets. IMF Staff Papers, 47(3), 279-310.
Bowe, M. & Domuta, D. (2004). Investor herding during financial crisis: A clinical study of the Jakarta Stock Exchange. PacificBasin Finance Journal, 12(4), 387-418.
Brunnermeier, M.K. (2001). Asset Pricing under Asymmetric Information. Oxford: Oxford University Press.
Chang, E.C., Cheng, J.W., & Khorana, A. (2000). An Examination of herd behavior in equity markets: an international perspective. Journal of Banking and Finance, 24, 1651-1679.
Chen, Y.F., Yang, S.Y., & Lin, F.L. (2012). Foreign Institutional Industrial Herding in Taiwan Stock Market. Managerial Finance, 38(3), 325-340.
Christie, W. G. & Huang, R. D. (1995). Following The Pied Paper: Do Foreign Individual Returns Herd Around the Market. Journal of Financial Analyst, 31-37.
Devenow, A. & Welch, I. (1996). Rational Herding in Financial Economics. Journal of European Economic Review, 40, 603-615.
Gunawan, Wijayanto, H., Achsani, N.A., & Rahman, L.O.A. (2011). Pendeteksian Perilaku Herding pada Pasar Saham Indonesia dan Asia Pasifik. Forum Statistika dan Komputasi, 16(2), 16-23.
Gutierrez, R.C., & Kelley, E.K. (2009). Institutional Herding and Future Stock Returns. Retrieved from Research Gate website:
https://www. researchgate.net/publication/228666518_Institutional_Herding_and_Future_Stock_Returns.
Harris, L. (2003). Trading and Exchanges: Market Microstructure for Practitioners. Oxfrod: Oxford University Press.
Hirshleifer, D. & Teoh, S.H. (2003). Herd Behavior and Cascading in Capital Markets: A Review and Synthesis. European Financial Management, 9, 25-66.
Indonesia Stock Exchange. (2016). Fact Book 2016. Jakarta: Indonesia Stock Exchange
Jogiyanto. (2000). Teori Portofolio dan Analisis Investasi. Yogyakarta: BPFE.
Kremer, S. & Nautz, D. (2013). Short-term Herding of Institutional Traders: New Evidence from the German Stock. European Financial Management, 19, 730-746.
Lakonishok, Shleifer, A., & Vishny, R. W. (1992). The impact of institutional trading on stock prices. Journal of Financial Economics, 32, 23–44.
Lan, Q.Q. & Lai, R.N. (2011). Herding and Trading Volume (University of Macau). Available online at http://dx.doi.org/10.2139/ssrn.1914208.s
Lindhe, E. (2012). Herd Behavior in Stock Markets: A Nordic Study (Master’s Thesis). Lund Universitet, Lund, Sweden.
Mabrouk, H.B. & Mohamed, F. (2013). Herding During Market Upturns and Downturns: International Evidence. The IUP Journal of Applied Finance, 19(2), 5-26.
Ramli, I., Agoes, S., & Setyawan, I. R. (2016). Information Asymmetry and The Role of Foreign Investors in Daily Transactions
During the Crisis: A Study of Herding in The Indonesian Stock Exchange. The Journal of Applied Business Research. 32 (1), 269-288.
Saastamoinen, J. (2008). Quantile Resression Analysis of dispersion of stock returns-evidence of herding?. Keskustelualoitteita 57, 1-19.
Sheldon, A. (2014). Global Mining Investing (eBook). Google Books.
Szyszka, A.(2013). Behavioral Finance and Capital Markets: How Psychology Influences Investors and Corporations. US: Palgrave Macmillan.
Testa, A. (2012). Path-Dependent Behavior with Asymmetric Information about Trader’s Type. Discussion Paper. University of Bonn, 1-36.
Venezia, I., Nashikkar, A., & Shapira, Z. (2010). Firm Specific and Macro Herding by Professional and Amateur Investors and their Effects on Market Volatility, Journal of Banking & Finance 35(7), 1599-1609.
Widarjono, A. (2013). Ekonometrika Teori dan Aplikasi. Yogyakarta: Ekonisia FE UII
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