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The Implications of Credit Risk Modeling for Banks' Loan Loss Provision Timeliness and Loan Origination Procyclicality


Gauri Bhat


Washington University in Saint Louis - John M. Olin Business School

Stephen G. Ryan


New York University (NYU) - Leonard N. Stern School of Business

Dushyantkumar Vyas


University of Minnesota - Twin Cities

March 30, 2013


Abstract:     
We identify two credit risk modeling (CRM) activities from disclosures in banks’ 1995-2009 financial reports: (1) statistical analysis of underwriting criteria, loan performance statuses, and relevant economic variables (MODEL); and (2) stress testing of credit losses to possible adverse future events (STRESS). We expect MODEL to discipline banks’ loan loss reserving during stable economic times and for homogeneous loans, but to be limited at sharp turns in economic cycles and for heterogeneous loans, when STRESS is essential. We predict and find that MODEL (STRESS) is associated with timelier LLPs on average across our sample period and late (early) in the financial crisis.

We expect CRM to enhance LLP timeliness by yielding informationally richer LLPs that depend less on summary underwriting criteria. We predict and find that banks engaging in MODEL record LLPs that are less positively (more strongly) associated with the loan-to-income ratios for their residential mortgages (their current loan performance and relevant economic variables).

We predict and find that banks engaging in MODEL exhibit less procyclical loan originations, particularly for homogeneous loans. We predict that banks engaging in STRESS exhibit less procyclical originations of heterogeneous loans, and find that this is the case during recessions.

Number of Pages in PDF File: 76

Keywords: credit risk modeling, loan loss provisions, timeliness, procyclicality, financial crisis, disclosure

JEL Classification: G21, G28, M41, M48

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Date posted: January 2, 2012 ; Last revised: April 1, 2013

Suggested Citation

Bhat, Gauri, Ryan, Stephen G. and Vyas, Dushyantkumar, The Implications of Credit Risk Modeling for Banks' Loan Loss Provision Timeliness and Loan Origination Procyclicality (March 30, 2013). Available at SSRN: http://ssrn.com/abstract=1978409 or http://dx.doi.org/10.2139/ssrn.1978409

Contact Information

Gauri Bhat
Washington University in Saint Louis - John M. Olin Business School ( email )
One Brookings Drive
Campus Box 1133
St. Louis, MO 63130-4899
United States
Stephen G. Ryan (Contact Author)
New York University (NYU) - Leonard N. Stern School of Business ( email )
44 West 4th Street, Suite 10-73
New York, NY 10012-1118
United States
212-998-0020 (Phone)
212-995-4004 (Fax)
Dushyantkumar Vyas
University of Minnesota - Twin Cities ( email )
3-122 Carlson School of Management
321 19th Ave South
Minneapolis, MN 55455
United States
612-6268642 (Phone)
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