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Informational Price Cascades and Non-aggregation of Asymmetric Information in Experimental Asset Markets

Jason Shachat and Anand Srinivasan ()
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Anand Srinivasan: Wang Yanan Institute for Studies in Economics, and MOE Key Laboratory in Econometrics, Xiamen University

No 1102, Working Papers from Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory

Abstract: We report on experimental markets for a contingent claim asset that eight subjects traded for nine periods before the state was revealed. There is an informative binary signal that arrives after each of the first eight trading rounds. In our baseline treatment the realization of the signal is public information, and in another treatment, market participants are randomly sequenced and receive the signal as private information. In the latter case, we observe zero information aggregation and prices lock in on home grown norms, which we call informational price cascades. We test the fragility of the price cascades in two further treatments. First, we break the monopoly on each signal by revealing it to two subjects, and then we increase that number to four. It is only when we inform four participants, or one-half of the market, that cascades fail to form and information starts to aggregate in the market.

Keywords: Information cascade; information aggregation; experiment; asset market (search for similar items in EconPapers)
JEL-codes: C92 D82 G12 (search for similar items in EconPapers)
Pages: 62 pages
Date: 2011-04-14, Revised 2011-04-14
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Citations: View citations in EconPapers (5)

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Related works:
Journal Article: Informational Price Cascades and Non-Aggregation of Asymmetric Information in Experimental Asset Markets (2022) Downloads
Working Paper: Informational Price Cascades and Non-aggregation of Asymmetric Information in Experimental Asset Markets (2013) Downloads
Working Paper: Informational price cascades and non-aggregation of asymmetric information in experimental asset markets (2011) Downloads
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