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SSRN Electronic Journal
Article . 2007 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2007
Data sources: EconStor
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Credit Risk Transfer: To Sell or to Insure

Authors: James R. Thompson;

Credit Risk Transfer: To Sell or to Insure

Abstract

This paper analyzes credit risk transfer in banking. Specifically, we model loan sales and loan insurance (e.g. credit default swaps) as the two instruments of risk transfer. Recent empirical evidence suggests that the adverse selection problem is as relevant in loan insurance as it is in loan sales. Contrary to previous literature, this paper allows for informational asymmetries in both markets. We show how credit risk transfer can achieve optimal investment and minimize the social costs associated with excess risk taking by a bank. Furthermore, we find that no separation of loan types can occur in equilibrium. Our results show that a well capitalized bank will tend to use loan insurance regardless of loan quality in the presence of moral hazard and relationship banking costs of loan sales. Finally, we show that a poorly capitalized bank may be forced into the loan sales market, even in the presence of possibly significant relationship and moral hazard costs that can depress the selling price.

Keywords

credit risk transfer, loan insurance, ddc:330, Adverse Selektion, loan sales, banking, credit risk transfer, banking, loan sales, loan insurance, credit derivatives, D82, Kreditrisiko, Kreditversicherung, G21, G22, credit derivatives, Bankgeschäft, Verkauf, Theorie, jel: jel:D82, jel: jel:G21, jel: jel:G22

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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!
12
Average
Top 10%
Average
bronze