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Do investors herd in emerging stock markets?: Evidence from the Taiwanese market

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Author Info

  • Demirer, Riza
  • Kutan, Ali M.
  • Chen, Chun-Da

Abstract

This paper has three main contributions to the literature on investor herds. First, it extends investor herding studies to an emerging yet relatively sophisticated Taiwanese stock market at the sector level by using firm level data. Second, it employs different methodologies designed to test the existence of investor herds to better understand the sources of herd behavior. Third, it discusses the implications of different herding measures for investors exposed to systematic and unsystematic risks. We find that the linear model based on the cross-sectional standard deviation (CSSD) testing methodology yields no significant evidence of herding. However, the non-linear model proposed by Chang et al. (2000) and the state space based models of Hwang and Salmon (2004) lead to consistent results indicating strong evidence of herd formation in all sectors. We also find that the herding effect is more prominent during periods of market losses. Our results suggest limited diversification opportunities for investors in this market, especially during periods of market losses when diversification is most needed. Further research is necessary to see whether similar findings hold for other emerging markets.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Behavior & Organization.

Volume (Year): 76 (2010)
Issue (Month): 2 (November)
Pages: 283-295

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Handle: RePEc:eee:jeborg:v:76:y:2010:i:2:p:283-295

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Web page: http://www.elsevier.com/locate/jebo

Related research

Keywords: Herd behavior Equity return dispersion Taiwan Stock Exchange Non-linear and state space models;

References

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Citations

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Cited by:
  1. Malik, Saif Ullah & Elahi, Muhammad Ather, 2014. "Analysis of Herd Behavior Using Quantile Regression: Evidence from Karachi Stock Exchange (KSE)," MPRA Paper 55322, University Library of Munich, Germany.
  2. Yao, Juan & Ma, Chuanchan & He, William Peng, 2014. "Investor herding behaviour of Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 12-29.
  3. Economou, Fotini & Kostakis, Alexandros & Philippas, Nikolaos, 2011. "Cross-country effects in herding behaviour: Evidence from four south European markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 443-460, July.
  4. Demirer, Riza, 2013. "Can advanced markets help diversify risks in frontier stock markets? Evidence from Gulf Arab stock markets," Research in International Business and Finance, Elsevier, vol. 29(C), pages 77-98.
  5. Gębka, Bartosz & Wohar, Mark E., 2013. "International herding: Does it differ across sectors?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 55-84.
  6. Demirer, Rıza & Kutan, Ali M. & Zhang, Huacheng, 2014. "Do ADR investors herd?: Evidence from advanced and emerging markets," International Review of Economics & Finance, Elsevier, vol. 30(C), pages 138-148.
  7. Gaston Gelos, 2011. "International Mutual Funds, Capital Flow Volatility, and Contagion-A Survey," IMF Working Papers 11/92, International Monetary Fund.

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