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Correlated Trading and Returns

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Author Info

  • Daniel Dorn
  • Gur Huberman
  • Paul Sengmueller

Abstract

Retail clients at a major German discount broker trade in tandem - they tend to be on the same side of the market in a given stock during a given day, week, month, and quarter. Neither aggregate liquidity effects nor short sale constraints fully explain this behavior. The systematic execution of limit orders, coordinated through price movements or the correlated trading of other investors who pick retail limit orders, do not fully explain the observed comovement either. Rather, tandem trading appears to be mostly due to investors placing similar speculative bets. Correlated speculative trades perturb markets enough to make returns predictable over a short horizon. Correlated limit orders also predict subsequent returns, but for a different reason: limit order traders are compensated for accommodating other traders' temporary liquidity demands.

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Bibliographic Info

Paper provided by Netherlands Central Bank, Research Department in its series DNB Working Papers with number 072.

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Date of creation: Dec 2005
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Handle: RePEc:dnb:dnbwpp:072

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Keywords: Retail investor trading; speculative trading; limit orders;

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References

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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. Paolo Colla & Antonio Mele, 2010. "Information Linkages and Correlated Trading," Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 203-246, January.
  3. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
  4. Grinblatt, Mark & Keloharju, Matti & Linnainmaa, Juhani T., 2012. "IQ, trading behavior, and performance," Journal of Financial Economics, Elsevier, vol. 104(2), pages 339-362.
  5. 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.
  6. Foucault, Thierry & Themar, David & Sraer, David, 2008. "Individual investors and volatility," Les Cahiers de Recherche 899, HEC Paris.
  7. Dorn, Daniel & Huberman, Gur, 2007. "Preferred Risk Habitat of Individual Investors," CEPR Discussion Papers 6532, C.E.P.R. Discussion Papers.
  8. 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.
  9. 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).
  10. 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.
  11. 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.
  12. García, Diego & Norli, Øyvind, 2012. "Geographic dispersion and stock returns," Journal of Financial Economics, Elsevier, vol. 106(3), pages 547-565.
  13. 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.
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