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Correlated Trading and Returns

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  • DANIEL DORN
  • GUR HUBERMAN
  • PAUL SENGMUELLER

Abstract

A German broker's clients place similar speculative trades and therefore tend to be on the same side of the market in a given stock during a given day, week, month, and quarter. Aggregate liquidity effects, short sale constraints, the systematic execution of limit orders (coordinated through price movements) or the correlated trading of other investors who pick off retail limit orders do not fully explain why retail investors trade similarly. Correlated market orders lead returns, presumably due to persistent speculative price pressure. Correlated limit orders also predict subsequent returns, consistent with executed limit orders being compensated for accommodating liquidity demands. Copyright 2008 by The American Finance Association.

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1540-6261.2008.01334.x
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Bibliographic Info

Article provided by American Finance Association in its journal The Journal of Finance.

Volume (Year): 63 (2008)
Issue (Month): 2 (04)
Pages: 885-920

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Handle: RePEc:bla:jfinan:v:63:y:2008:i:2:p:885-920

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Citations

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Cited by:
  1. Baltzer, Markus & Stolper, Oscar & Walter, Andreas, 2011. "Home-field advantage or a matter of ambiguity aversion? Local bias among German individual investors," Discussion Paper Series 1: Economic Studies 2011,23, Deutsche Bundesbank, Research Centre.
  2. Lin, William & Tsai, Shih-Chuan & Sun, David, 2010. "Search costs and investor trading activity: evidences from limit order book," MPRA Paper 37284, University Library of Munich, Germany, revised Aug 2011.
  3. Robert F. Stambaugh, 2014. "Investment Noise and Trends," NBER Working Papers 20072, National Bureau of Economic Research, Inc.
  4. Poon, Ser-Huang & Rockinger, Michael & Stathopoulos, Konstantinos, 2013. "Market liquidity and institutional trading during the 2007–8 financial crisis," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 86-97.
  5. Franck, Alexander & Walter, Andreas, 2012. "Portfolio Complexity and Herd Behavior: Evidence from the German Mutual Fund Market," Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62015, Verein für Socialpolitik / German Economic Association.
  6. Grinblatt, Mark & Keloharju, Matti & Linnainmaa, Juhani T., 2012. "IQ, trading behavior, and performance," Journal of Financial Economics, Elsevier, vol. 104(2), pages 339-362.
  7. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
  8. Thierry Foucault & David Sraer & David J. Thesmar, 2011. "Individual Investors and Volatility," Journal of Finance, American Finance Association, vol. 66(4), pages 1369-1406, 08.
  9. Koutmos, Dimitrios, 2012. "An intertemporal capital asset pricing model with heterogeneous expectations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1176-1187.
  10. 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.
  11. Patrick Roger, 2012. "Portfolio diversification dynamics of individual investors: a new measure of investor sentiment," Working Papers of LaRGE Research Center 2012-01, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg (France).
  12. Lin, William & Sun, David & Tsai, Shih-Chuan, 2010. "Does trading remove or bring frictions?," MPRA Paper 37285, University Library of Munich, Germany, revised Jan 2011.
  13. Dorn, Daniel & Huberman, Gur, 2010. "Preferred risk habitat of individual investors," Journal of Financial Economics, Elsevier, vol. 97(1), pages 155-173, July.
  14. Barber, Brad M. & Odean, Terrance & Zhu, Ning, 2009. "Systematic noise," Journal of Financial Markets, Elsevier, vol. 12(4), pages 547-569, November.
  15. Sumit Agarwal & I‐Ming Chiu & Chunlin Liu & S. Ghon Rhee, 2011. "The Brokerage Firm Effect In Herding: Evidence From Indonesia," Journal of Financial Research, Southern Finance Association & Southwestern Finance Association, vol. 34(3), pages 461-479, 09.
  16. Antonio Mele, 2008. "Information Linkages and Correlated Trading," FMG Discussion Papers dp620, Financial Markets Group.
  17. Hoechle, Daniel & Schmid, Markus & Zimmermann, Heinz, 2012. "Measuring Long-term Performance: a Regression Based Generalization of the Calendar Time Portfolio Approach," Working Papers on Finance 1216, University of St. Gallen, School of Finance.
  18. Fang, Jieyan & Ruenzi, Stefan, 2009. "Rapid Trading bei deutschen Aktienfonds: Evidenz aus einer großen deutschen Fondsgesellschaft," CFR Working Papers 09-04, University of Cologne, Centre for Financial Research (CFR).
  19. García, Diego & Norli, Øyvind, 2012. "Geographic dispersion and stock returns," Journal of Financial Economics, Elsevier, vol. 106(3), pages 547-565.

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