The Implications of Credit Risk Modeling for Banks' Loan Loss Provisions and Loan-Origination Procyclicality

• 成果类型: Article
• 署名作者: Bhat, Gauri; Ryan, Stephen G.; Vyas, Dushyantkumar
• 署名单位: Southern Methodist University; New York University; University of Toronto; University of Toronto
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2018.3041
• 发表日期: 2019
• 页码: 2116-2141
• 关键词: credit risk modeling; loan loss provisions; Timeliness; Procyclicality; Financial crisis; disclosure

摘要

Economic policymakers express concern that procyclical lending by banks imperils financial stability. Prior research finds that banks that record timelier loan loss provisions originate more loans during downturns, consistent with loan loss-provision timeliness mitigating loan-origination procyclicality. Motivated by this concern and research, we examine whether banks' credit risk modeling disciplines both their loan loss provisions and loan origination. We identify two forms of credit risk modeling from banks' financial report disclosures: statistical modeling of the drivers of past loan losses and stress testing of future loan losses to adverse scenarios. We show that banks' credit risk-modeling disclosures are positively associated with their loan loss-provision timeliness, with the ability of their provisions to predict future loan charge-offs, and with their loan origination during downturns. We further show that these associations vary in predictable ways across the two forms of credit risk modeling when we distinguish homogeneous from heterogeneous loans and stable periods from downturns.