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The impact of information risk and market stress on institutional trading: New evidence through the lens of a simulated herd model

Christopher K. Boortz, Simon Jurkatis, Stephanie Kremer and Dieter Nautz ()

Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order from Verein für Socialpolitik / German Economic Association

Abstract: This paper sheds new light on the impact of information risk and market stress on herding of institutional traders from both, a theoretical and an empirical perspective. Using numerical simulations of a herd model, we show that buy and sell herding intensity should increase with information risk. Market stress should affect herding asymmetrically: while there is more sell herding when the market becomes more pessimistic and more uncertain, buy herding intensity should decrease. We test these predictions using intra-day herding measures based on high-frequent, investor-specific trading data of all institutional investors in the German stock market. The evidence provides strong support for an increasing effect of information risk on herding intensity on an intra-day basis. However, in contrast to the simulation results empirical herding measures indicate that buy herding has even slightly increased, not decreased, during the recent crisis period.

JEL-codes: G11 G24 C23 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp and nep-mst
Date: 2013
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