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Journal of the European Economic Association
Article . 2020 . Peer-reviewed
License: OUP Standard Publication Reuse
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Liquidity Insurance with Market Information

Authors: Luigi Iovino;

Liquidity Insurance with Market Information

Abstract

Abstract This paper studies how market signals—such as stock prices—can help alleviate the severity of the asymmetric information problem in credit and liquidity management. Asymmetric information hinders the ability of borrowers (firms, investment banks, etc.) to undertake profitable investment opportunities and to insure themselves against liquidity shocks. I show that on the equilibrium path creditors do not learn anything from market signals because they can use a menu of contracts to screen the different types of borrowers. However, by conditioning liquidity insurance on ex post price signals, creditors are able to provide the borrowers with better incentives for truth telling. At the same time, prices depend on the liquidity that creditors offer to the borrowers. This two-way feedback impacts the design of the optimal contract and potentially generates multiple equilibria in financial markets.

Country
Italy
Related Organizations
Keywords

LIQUIDITY SHOCKS, ASYMMETRIC INFORMATION, MARKET INFORMATION, MULTIPLE EQUILIBRIA

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid