Decentralized Trading with Private Information
Mikhail Golosov,
Guido Lorenzoni () and
Aleh Tsyvinski
No 15513, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
The paper studies asset pricing in informationally decentralized markets. These markets have two key frictions: trading is decentralized (bilateral), and some agents have private information. We analyze how uninformed agents acquire information over time from their bilateral trades. In particular, we show that uninformed agents can learn all the useful information in the long run and that the long-run allocation is Pareto efficient. We then explore how informed agents can exploit their informational advantage in the short run and provide sufficient conditions for the value of information to be positive. Finally, we provide a numerical analysis of the equilibrium trading dynamics and prices.
JEL-codes: D82 D84 G12 G14 (search for similar items in EconPapers)
Date: 2009-11
New Economics Papers: this item is included in nep-cba, nep-cta, nep-dge and nep-mst
Note: AP EFG
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Published as Mikhail Golosov & Guido Lorenzoni & Aleh Tsyvinski, 2014. "Decentralized Trading With Private Information," Econometrica, Econometric Society, vol. 82(3), pages 1055-1091, 05.
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Journal Article: Decentralized Trading With Private Information (2014) 
Working Paper: Decentralized trading with private information (2008)
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