Aggregation and design of information in asset markets with adverse selection
Vladimir Asriyan (),
William Fuchs and
Economics Working Papers from Department of Economics and Business, Universitat Pompeu Fabra
How effectively does a decentralized marketplace aggregate information that is dispersed throughout the economy? We study this question in a dynamic setting where sellers have private information that is correlated with an unobservable aggregate state. In any equilibrium, each seller’s trading behavior provides an informative and conditionally independent signal about the aggregate state. We ask whether the state is revealed as the number of informed traders grows large. Surprisingly, the answer is no; we provide conditions under which information aggregation necessarily fails. In another region of the parameter space, aggregating and non-aggregating equilibria coexist. We solve for the optimal information policy of a constrained social planner who observes trading behavior and chooses what information to reveal. We show that non-aggregating equilibria are always constrained inefficient. The optimal information policy Pareto improves upon laissez-faire outcomes by concealing favorable information in order to accelerate trade.
Keywords: Information aggregation; adverse selection; information design; benchmarks. (search for similar items in EconPapers)
JEL-codes: G14 G18 D47 D53 D82 D83 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-mic
Date: 2017-07, Revised 2019-02
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Working Paper: Aggregation and Design of Information in Asset Markets with Adverse Selection (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:upf:upfgen:1573
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