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Causes and consequences of short-term institutional herding

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  • Kremer, Stephanie
  • Nautz, Dieter

Abstract

This paper provides new evidence on the causes and consequences of herding by institutional investors. Using a comprehensive database of every transaction made by financial institutions in the German stock market, we show that institutions exhibit herding behavior on a daily basis. Herding intensity depends on stock characteristics including past returns and volatility. Return reversals indicate a destabilizing impact of herds on stock prices in the short term. Results from panel regressions suggest that herding is mainly unintentional and partly driven by the use of similar risk models. Our findings confirm the importance of macro-prudential aspects for banking regulation.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 37 (2013)
Issue (Month): 5 ()
Pages: 1676-1686

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Handle: RePEc:eee:jbfina:v:37:y:2013:i:5:p:1676-1686

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

Related research

Keywords: Investor behavior; Institutional trading; Stock prices; Herding;

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References

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Citations

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Cited by:
  1. 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," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79728, Verein für Socialpolitik / German Economic Association.
  2. Christopher Boortz & Stephanie Kremer & Simon Jurkatis & Dieter Nautz, 2014. "Information Risk, Market Stress and Institutional Herding in Financial Markets: New Evidence Through the Lens of a Simulated Model," SFB 649 Discussion Papers SFB649DP2014-029, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  3. 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.
  4. 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.
  5. Christopher Boortz & Simon Jurkatis & Stephanie Kremer & Dieter Nautz, 2013. "Herding in financial markets: Bridging the gap between theory and evidence," SFB 649 Discussion Papers SFB649DP2013-036, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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