Learning in Crowded Markets

Adam Zawadowski and Péter Kondor
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Adam Zawadowski: Central European University

No 338, 2016 Meeting Papers from Society for Economic Dynamics

Abstract: We develop a model of capital reallocation to analyze whether the presence of more arbitrageurs improves capital allocation and welfare. While trades can become crowded due to imperfect information and externalities, arbitrageurs can devote resources to flexibly learn about the number of earlier entrants. Above a threshold, increasing the number of arbitrageurs does not affect capital allocation: whether there is eventually too little or too much capital allocated to the trade is solely determined by the parameters of the market. The flexibility in the learning technology is key to this insight. However, the presence of more arbitrageurs decreases welfare, as they use more aggregate resources to learn about each others' position. When both sophisticated and unsophisticated arbitrageurs are present, increasing the share of sophisticated arbitrageurs might be welfare reducing.

Date: 2016
New Economics Papers: this item is included in nep-cse and nep-mic
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Citations: View citations in EconPapers (4)

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Related works:
Journal Article: Learning in crowded markets (2019)
Working Paper: Learning in crowded markets (2019)
Working Paper: Learning in Crowded Markets (2018)
Working Paper: Learning in crowded markets (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:red:sed016:338

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