Learning in crowded markets
成果类型:
Article
署名作者:
Kondor, Peter; Zawadowski, Adam
署名单位:
University of London; London School Economics & Political Science; Central European University
刊物名称:
JOURNAL OF ECONOMIC THEORY
ISSN/ISSBN:
0022-0531
DOI:
10.1016/j.jet.2019.08.006
发表日期:
2019
关键词:
Crowded markets
Inattention
摘要:
We present a novel entry-game with endogenous information acquisition to study the welfare effects of opacity and competition. Potential entrants to an opaque market are uncertain about their competitive advantage relative to other investors, i.e. their type. They construct optimal costly signals to learn about their types, where the marginal cost of learning captures the opacity of the market. In general, the individually optimal entry and learning decisions are socially suboptimal. Players over-invest in learning and more opaque markets are associated with more crowding. Nevertheless, more opaque markets might still lead to higher welfare by implying a better trade-off between the degree of crowding and the total cost of learning. Similarly, decreasing the share of smart investors in the market might also improve welfare. However, fierce competition is always detrimental to welfare as it leads to more wasteful learning without changing the level of crowding. (C) 2019 Elsevier Inc. All rights reserved.