Collateral and Asymmetric Information in Lending Markets

Nicola Pavanini, Vasso Ioannidou and Yushi Peng

No 13905, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: We study the benefits and costs of collateral requirements in bank lending markets with asymmetric information. We estimate a structural model of firms’ credit demand for secured and unsecured loans, banks’ contract offering and pricing, and firm default using credit registry data in a setting where asymmetric information problems are pervasive. We provide evidence that collateral mitigates adverse selection and moral hazard. With counterfactual experiments, we quantify how an adverse shock to collateral values propagates to credit supply, credit allocation, interest rates, default, bank profits, and document the relative importance of banks’ pricing and rationing in response to this shock.

Keywords: Asymmetric information; Structural estimation; Credit markets; Collateral (search for similar items in EconPapers)
JEL-codes: D82 G21 L13 (search for similar items in EconPapers)
Date: 2019-08
New Economics Papers: this item is included in nep-ban and nep-cfn
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://cepr.org/publications/DP13905 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cpr:ceprdp:13905

Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP13905

Access Statistics for this paper

More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().