DP13905 Collateral and Asymmetric Information in Lending Markets
|Author(s):||Vasso Ioannidou, Nicola Pavanini, Yushi Peng|
|Publication Date:||August 2019|
|Keyword(s):||asymmetric information, Collateral, credit markets, structural estimation|
|JEL(s):||D82, G21, L13|
|Programme Areas:||Financial Economics, Industrial Organization|
|Link to this Page:||cepr.org/active/publications/discussion_papers/dp.php?dpno=13905|
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 detailed credit registry data in a setting where asymmetric information problems in credit markets 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, and bank profits and how the severity of adverse selection influences this propagation.