流动性摩擦市场中的信息不对称:抵押信贷与资产出售

IF 1.9 3区 经济学 Q2 ECONOMICS
Florian Madison
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引用次数: 0

摘要

本文研究了场外市场中受承诺和信息摩擦影响的抵押信贷和资产销售的(非)等价性。在搜索理论的一般均衡模型中,一个由不败均衡完善的信号博弈内生了集合出价和分离出价之间的选择,并提供了新的见解,即在什么条件下两种支付策略中的哪一种会主导另一种。结果表明,非等价性取决于经济基本面、承诺和信息摩擦。尽管存在逆向选择,但抵押信贷会出现第一最佳消费,而资产销售则不会,交易条件的特点是由信念驱动的内生性扣减和过度抵押。将并存的信息敏感型资产与法定货币结合起来的扩展,为私人信息下的投资组合管理和多样化提供了新的思路,并将最优支付策略与货币政策联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymmetric information in frictional markets for liquidity: Collateralized credit vs asset sale

This paper studies (non-)equivalence of collateralized credit and asset sales in over-the-counter markets subject to commitment and information frictions. Embedded in a search-theoretic general equilibrium model, a signaling game refined by the undefeated equilibrium endogenizes the choice between pooling and separating offers and provides novel insights under what conditions either payment strategy dominates the other. The results show that non-equivalence depends on economic fundamentals, commitment, and information frictions. Despite adverse selection, first-best consumption can occur for collateralized credit, but not for asset sales, with belief-driven endogenous haircuts and over-collateralization characterizing the terms of trade. An extension incorporating co-existing information-sensitive assets and fiat money sheds new light on portfolio management and diversification under private information and ties optimal payment strategies to monetary policy.

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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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