[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/zbw/sfb649/sfb649dp2013-036.html
   My bibliography  Save this paper

Herding in financial markets: Bridging the gap between theory and evidence

Author

Listed:
  • Boortz, Christopher
  • Jurkatis, Simon
  • Kremer, Stephanie
  • Nautz, Dieter
Abstract
Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are only loosely connected. This paper attempts to close this gap in the herding literature. From a theoretical perspective, we use numerical simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. From an empirical perspective, we employ high-frequency, investor-specific trading data to test the theory-implied impact of information risk and market stress on herding. Confirming model predictions, our results show that herding intensity increases with information risk. In contrast, herding measures estimated for the nancial crisis period cannot be explained by the herd model. This suggests that the correlation of trades observed during the crisis is mainly due to the common reaction of investors to new public information and should not be misinterpreted as herd behavior.

Suggested Citation

  • Boortz, Christopher & Jurkatis, Simon & Kremer, Stephanie & Nautz, Dieter, 2013. "Herding in financial markets: Bridging the gap between theory and evidence," SFB 649 Discussion Papers 2013-036, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2013-036
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/79561/1/756719623.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jorion, Philippe & Liu, Zhu & Shi, Charles, 2005. "Informational effects of regulation FD: evidence from rating agencies," Journal of Financial Economics, Elsevier, vol. 76(2), pages 309-330, May.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. 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.
    4. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
    5. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    6. Brad M. Barber & Terrance Odean & Ning Zhu, 2009. "Do Retail Trades Move Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 151-186, January.
    7. Chari, V. V. & Kehoe, Patrick J., 2004. "Financial crises as herds: overturning the critiques," Journal of Economic Theory, Elsevier, vol. 119(1), pages 128-150, November.
    8. Hwang, Soosung & Salmon, Mark, 2004. "Market stress and herding," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 585-616, September.
    9. 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.
    10. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    11. Decamps, Jean-Paul & Lovo, Stefano, 2006. "Informational cascades with endogenous prices: The role of risk aversion," Journal of Mathematical Economics, Elsevier, vol. 42(1), pages 109-120, February.
    12. Richard W. Sias, 2004. "Institutional Herding," The Review of Financial Studies, Society for Financial Studies, vol. 17(1), pages 165-206.
    13. Park, Andreas & Sgroi, Daniel, 2012. "Herding, contrarianism and delay in financial market trading," European Economic Review, Elsevier, vol. 56(6), pages 1020-1037.
    14. 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.
    15. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    16. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980.
    17. 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.
    18. Andreas Park & Hamid Sabourian, 2011. "Herding and Contrarian Behavior in Financial Markets," Econometrica, Econometric Society, vol. 79(4), pages 973-1026, July.
    19. George Tannous & Juan Wang & Craig Wilson, 2013. "The Intraday Pattern of Information Asymmetry, Spread, and Depth: Evidence from the NYSE," International Review of Finance, International Review of Finance Ltd., vol. 13(2), pages 215-240, June.
    20. Patterson, Douglas M. & Sharma, Vivek, 2010. "The Incidence Of Informational Cascades And The Behavior Of Trade Interarrival Times During The Stock Market Bubble," Macroeconomic Dynamics, Cambridge University Press, vol. 14(S1), pages 111-136, May.
    21. Abbassi, Puriya & Linzert, Tobias, 2012. "The effectiveness of monetary policy in steering money market rates during the financial crisis," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 945-954.
    22. Zhou, Rhea Tingyu & Lai, Rose Neng, 2009. "Herding and information based trading," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 388-393, June.
    23. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    24. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521530927, September.
    25. Kremer, Stephanie & Nautz, Dieter, 2013. "Causes and consequences of short-term institutional herding," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1676-1686.
    26. 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, June.
    27. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1996. "Cream-Skimming or Profit-Sharing? The Curious Role of Purchased Order Flow," Journal of Finance, American Finance Association, vol. 51(3), pages 811-833, July.
    28. Chamley,Christophe P., 2004. "Rational Herds," Cambridge Books, Cambridge University Press, number 9780521824019, September.
    29. 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, March.
    30. Choi, Nicole & Sias, Richard W., 2009. "Institutional industry herding," Journal of Financial Economics, Elsevier, vol. 94(3), pages 469-491, December.
    31. Ederington, Louis H. & Goh, Jeremy C., 1998. "Bond Rating Agencies and Stock Analysts: Who Knows What When?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 33(4), pages 569-585, December.
    32. Dasgupta, Amil & Prat, Andrea, 2008. "Information aggregation in financial markets with career concerns," Journal of Economic Theory, Elsevier, vol. 143(1), pages 83-113, November.
    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. Thomä, Jakob & Murray, Clare & Jerosch-Herold, Vincent & Magdanz, Janina, 2019. "Do you manage what you measure? Investor views on the question of climate actions with empirical results from the Swiss pension fund and insurance sector," LSE Research Online Documents on Economics 115100, London School of Economics and Political Science, LSE Library.
    2. Park, A. & Sgroi, D., 2009. "Herding and Contrarian Behavior in Financial Markets: An Experimental Analysis," Cambridge Working Papers in Economics 0938, Faculty of Economics, University of Cambridge.
    3. Weni Susanti, 2024. "Insights into Herding Behavior in Indonesian Islamic Banks ," GATR Journals jfbr222, Global Academy of Training and Research (GATR) Enterprise.
    4. Poeschel, Friedrich, 2012. "Assortative matching through signals," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62061, Verein für Socialpolitik / German Economic Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:hum:wpaper:sfb649dp2013-036 is not listed on IDEAS
    2. Christopher Boortz & Simon Jurkatis & Stephanie Kremer & Dieter Nautz, 2013. "Institutional Herding in Financial Markets: New Evidence through the Lens of a Simulated Model," Discussion Papers of DIW Berlin 1336, DIW Berlin, German Institute for Economic Research.
    3. Boortz, Christopher & Kremer, Stephanie & Jurkatis, Simon & Nautz, Dieter, 2014. "Information risk, market stress and institutional herding in financial markets: New evidence through the lens of a simulated model," SFB 649 Discussion Papers 2014-029, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. repec:hum:wpaper:sfb649dp2014-029 is not listed on IDEAS
    5. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    6. Jurkatis, Simon & Kremer, Stephanie & Nautz, Dieter, 2012. "Correlated trades and herd behavior in the stock market," SFB 649 Discussion Papers 2012-035, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    7. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    8. repec:hum:wpaper:sfb649dp2012-035 is not listed on IDEAS
    9. Boortz, Christopher K. & Jurkatis, Simon & Kremer, Stephanie & Nautz, Dieter, 2013. "The impact of information risk and market stress on institutional trading: New evidence through the lens of a simulated herd model," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79728, Verein für Socialpolitik / German Economic Association.
    10. Cipriani Marco & Guarino Antonio, 2008. "Herd Behavior and Contagion in Financial Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-56, October.
    11. Guney, Yilmaz & Kallinterakis, Vasileios & Komba, Gabriel, 2017. "Herding in frontier markets: Evidence from African stock exchanges," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 152-175.
    12. Andrikopoulos, Panagiotis & Gebka, Bartosz & Kallinterakis, Vasileios, 2021. "Regulatory mood-congruence and herding: Evidence from cannabis stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 842-864.
    13. Cui, Yueting & Gebka, Bartosz & Kallinterakis, Vasileios, 2019. "Do closed-end fund investors herd?," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 194-206.
    14. Choi, Nicole & Skiba, Hilla, 2015. "Institutional herding in international markets," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 246-259.
    15. Kremer, Stephanie & Nautz, Dieter, 2013. "Causes and consequences of short-term institutional herding," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1676-1686.
    16. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
    17. Galariotis, Emilios C. & Rong, Wu & Spyrou, Spyros I., 2015. "Herding on fundamental information: A comparative study," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 589-598.
    18. Marco Cipriani & Antonio Guarino, 2009. "Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals," Journal of the European Economic Association, MIT Press, vol. 7(1), pages 206-233, March.
    19. Pegah Dehghani & Ros Zam Zam Sapian, 2014. "Sectoral herding behavior in the aftermarket of Malaysian IPOs," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 227-246, July.
    20. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    21. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    22. Moatemri Ouarda & Abdelfatteh El Bouri & Olivero Bernard, 2013. "Herding Behavior under Markets Condition: Empirical Evidence on the European Financial Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 3(1), pages 214-228.
    23. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Ferreira, Mario Pedro Leite, 2013. "Institutional industry herding: Intentional or spurious?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 192-214.

    More about this item

    Keywords

    Herd Behavior; Institutional Trading; Model Simulation;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    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:zbw:sfb649:sfb649dp2013-036. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/sohubde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.