IDEAS home Printed from https://ideas.repec.org/p/huj/dispap/dp586.html
   My bibliography  Save this paper

Firm specific and macro herding by professional and amateur investors and their effects on market volatility

Author

Listed:
  • Itzhak Venezia
  • Amrut Nashikkar
  • Zur Shapira

Abstract

We find a herding tendency among both amateur and professional investors and conclude that the propensity to herd is lower in the professionals. These results are obtained both when we consider herding into individual stocks and herding into stocks in general. Herding depends on the firm’s systematic risk and size, and the professionals are less sensitive to these variables. The differences between the amateurs and the professionals may be attributable to the latter’s superior financial training. Most of the results are consistent with the theory that herding is information-based. We also find that the herding behavior of the two groups is a persistent phenomenon, and that it is positively and significantly correlated with stock market returns’ volatility. Finally, herding, mainly by amateurs, causes market volatility in the Granger causality sense.

Suggested Citation

  • Itzhak Venezia & Amrut Nashikkar & Zur Shapira, 2011. "Firm specific and macro herding by professional and amateur investors and their effects on market volatility," Discussion Paper Series dp586, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
  • Handle: RePEc:huj:dispap:dp586
    as

    Download full text from publisher

    File URL: http://ratio.huji.ac.il/sites/default/files/publications/dp586.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Matthew Pritsker & Laura E. Kodres, 1995. "Directionally similar position taking and herding by large futures market participants," Proceedings, Board of Governors of the Federal Reserve System (U.S.), pages 221-272.
    2. Gleason, Kimberly C. & Mathur, Ike & Peterson, Mark A., 2004. "Analysis of intraday herding behavior among the sector ETFs," Journal of Empirical Finance, Elsevier, vol. 11(5), pages 681-694, December.
    3. John M. Griffin & Jeffrey H. Harris & Selim Topaloglu, 2003. "The Dynamics of Institutional and Individual Trading," Journal of Finance, American Finance Association, vol. 58(6), pages 2285-2320, December.
    4. Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Journal of Financial Economics, Elsevier, vol. 32(1), pages 23-43, August.
    5. Chiang, Thomas C. & Zheng, Dazhi, 2010. "An empirical analysis of herd behavior in global stock markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1911-1921, August.
    6. Kenneth A. Kim & John R. Nofsinger, 2005. "Institutional Herding, Business Groups, and Economic Regimes: Evidence from Japan," The Journal of Business, University of Chicago Press, vol. 78(1), pages 213-242, January.
    7. Richard W. Sias, 2004. "Institutional Herding," Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 165-206.
    8. Shapira, Zur & Venezia, Itzhak, 2001. "Patterns of behavior of professionally managed and independent investors," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1573-1587, August.
    9. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    10. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    11. Sunil Sharma & Sushil Bikhchandani, 2000. "Herd Behavior in Financial Markets; A Review," IMF Working Papers 00/48, International Monetary Fund.
    12. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
    13. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    14. Villatoro, Félix, 2009. "The delegated portfolio management problem: Reputation and herding," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2062-2069, November.
    15. Andreas Walter & Friedrich Moritz Weber, 2006. "Herding in the German Mutual Fund Industry," European Financial Management, European Financial Management Association, vol. 12(3), pages 375-406.
    16. Falkenstein, Eric G, 1996. " Preferences for Stock Characteristics as Revealed by Mutual Fund Portfolio Holdings," Journal of Finance, American Finance Association, vol. 51(1), pages 111-135, March.
    17. Svitlana Voronkova & Martin T. Bohl, 2005. "Institutional Traders' Behavior in an Emerging Stock Market: Empirical Evidence on Polish Pension Fund Investors," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(7-8), pages 1537-1560.
    18. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    19. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66.
    20. Sam Wylie, 2005. "Fund Manager Herding: A Test of the Accuracy of Empirical Results Using U.K. Data," The Journal of Business, University of Chicago Press, vol. 78(1), pages 381-403, January.
    21. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    22. Rubin, Amir & Smith, Daniel R., 2009. "Institutional ownership, volatility and dividends," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 627-639, April.
    23. Brown, Nerissa C. & Wei, Kelsey D. & Wermers, Russ, 2007. "Analyst recommendations, mutual fund herding, and overreaction in stock prices," CFR Working Papers 07-08, University of Cologne, Centre for Financial Research (CFR).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lin, Anchor Y. & Lin, Yueh-Neng, 2014. "Herding of institutional investors and margin traders on extreme market movements," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 186-198.
    2. Kurz, Claudia & Kurz-Kim, Jeong-Ryeol, 2013. "What determines the dynamics of absolute excess returns on stock markets?," Economics Letters, Elsevier, vol. 118(2), pages 342-346.
    3. repec:eee:finlet:v:23:y:2017:i:c:p:121-132 is not listed on IDEAS
    4. Galariotis, Emilios C. & Krokida, Styliani-Iris & Spyrou, Spyros I., 2016. "Bond market investor herding: Evidence from the European financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 367-375.
    5. Hackethal, Andreas & Haliassos, Michael & Jappelli, Tullio, 2012. "Financial advisors: A case of babysitters?," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 509-524.
    6. Douglas Foster, F. & Gallagher, David R. & Looi, Adrian, 2011. "Institutional trading and share returns," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3383-3399.
    7. repec:eco:journ1:2017-02-85 is not listed on IDEAS
    8. Kim, Sei-Wan & Lee, Bong-Soo & Kim, Young-Min, 2014. "Who mimics whom in the equity fund market? Evidence from the Korean equity fund market," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 199-218.
    9. Litimi, Houda & BenSaïda, Ahmed & Bouraoui, Omar, 2016. "Herding and excessive risk in the American stock market: A sectoral analysis," Research in International Business and Finance, Elsevier, vol. 38(C), pages 6-21.
    10. Dang, Ha V. & Lin, Mi, 2016. "Herd mentality in the stock market: On the role of idiosyncratic participants with heterogeneous information," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 247-260.
    11. Chou, Robin K. & Wang, Yun-Yi, 2011. "A test of the different implications of the overconfidence and disposition hypotheses," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2037-2046, August.
    12. repec:bpj:ajlecn:v:7:y:2016:i:3:p:369-383:n:2 is not listed on IDEAS
    13. Егорова Людмила Геннадьевна, 2014. "Эффективность Торговых Стратегий Мелких Трейдеров," Проблемы управления, CyberLeninka;Общество с ограниченной ответственностью "СенСиДат-Контрол", issue 5, pages 34-41.
    14. Zheng, Dazhi & Li, Huimin & Zhu, Xiaowei, 2015. "Herding behavior in institutional investors: Evidence from China’s stock market," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 59-76.
    15. repec:eee:ecofin:v:42:y:2017:i:c:p:266-284 is not listed on IDEAS
    16. repec:eee:reveco:v:51:y:2017:i:c:p:487-509 is not listed on IDEAS
    17. Peterson, David R. & Smedema, Adam R., 2011. "The return impact of realized and expected idiosyncratic volatility," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2547-2558, October.
    18. repec:eee:riibaf:v:42:y:2017:i:c:p:496-508 is not listed on IDEAS
    19. Liudmila G. Egorova, 2014. "The Effectiveness Of Different Trading Strategies For Price-Takers," HSE Working papers WP BRP 29/FE/2014, National Research University Higher School of Economics.
    20. Kremer, Stephanie & Nautz, Dieter, 2013. "Causes and consequences of short-term institutional herding," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1676-1686.
    21. Justyna Przychodzen & Fernando Gómez-Bezares & Wojciech Przychodzen & Mikel Larreina, 2016. "ESG Issues among Fund Managers—Factors and Motives," Sustainability, MDPI, Open Access Journal, vol. 8(10), pages 1-19, October.
    22. Choi, Nicole & Skiba, Hilla, 2015. "Institutional herding in international markets," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 246-259.
    23. Aboulamer, Anas & Kryzanowski, Lawrence, 2016. "Are idiosyncratic volatility and MAX priced in the Canadian market?," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 20-36.
    24. Chang, Chih-Hsiang & Lin, Shih-Jia, 2015. "The effects of national culture and behavioral pitfalls on investors' decision-making: Herding behavior in international stock markets," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 380-392.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:huj:dispap:dp586. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael Simkin). General contact details of provider: http://edirc.repec.org/data/crihuil.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.