Monopoly and Information Advantage in the Residential Mortgage Market

Posted: 15 Dec 2008

See all articles by Jie Gan

Jie Gan

Cheung Kong Graduate School of Business

Timothy J. Riddiough

University of Wisconsin - School of Business - Department of Real Estate and Urban Land Economics

Multiple version iconThere are 2 versions of this paper

Date Written: November 2008

Abstract

Information advantage and entry deterrence incentives are investigated as they affect lending outcomes and competitive structure of the U.S. residential mortgage market. In the model, when assessing a loan applicant, the incumbent monopoly lender employs a proprietary screening technology to produce a privately observed estimate of loan credit quality. When faced with potential competitive entry, the incumbent signals poor credit quality by charging high prices to higher-quality borrowers. Market structure and loan pricing strategy are derived endogenously, where the incumbent deters entry first by segmenting consumers into prime and sub-prime loan markets and second by charging prime market borrowers a uniform rate that is higher than the risk-based monopoly rate. Empirical implications of the model are identified, and evidence is presented that is consistent with predictions.

Suggested Citation

Gan, Jie and Riddiough, Timothy J., Monopoly and Information Advantage in the Residential Mortgage Market (November 2008). The Review of Financial Studies, Vol. 21, Issue 6, pp. 2677-2703, 2008, Available at SSRN: https://ssrn.com/abstract=1315604 or http://dx.doi.org/hhm005

Jie Gan (Contact Author)

Cheung Kong Graduate School of Business ( email )

Oriental Plaza, Tower E3
One East Chang An Avenue
Beijing, 100738
China

Timothy J. Riddiough

University of Wisconsin - School of Business - Department of Real Estate and Urban Land Economics ( email )

School of Business
975 University Avenue
Madison, WI 53706
United States
608-262-3531 (Phone)
608-265-2738 (Fax)

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
1,044
PlumX Metrics