Securitization and Loan Performance: A Contrast of Ex Ante and Ex Post Relations in the Mortgage Market

57 Pages Posted: 17 Mar 2010 Last revised: 25 Jul 2011

See all articles by Wei Jiang

Wei Jiang

Emory University Goizueta Business School; ECGI; NBER

Ashlyn Aiko Nelson

Indiana University Bloomington - School of Public & Environmental Affairs (SPEA)

Edward Vytlacil

Yale University - Department of Economics; National Bureau of Economic Research (NBER)

Date Written: September 2010

Abstract

This study presents an intriguing contrast of the ex ante and ex post relations between mortgage securitization and loan performance using a comprehensive dataset from a major national mortgage bank. While the paper supports that the bank applies lower screening efforts on loans that have higher ex ante probability of being securitized, it further shows that loans remaining on the bank’s balance sheet are, ex post, of worse quality than sold loans. Most of the differences can be explained away by secondary market investors’ information advantage over the originating bank due to the time lag between loan origination and loan sale. While many blame the presence of the secondary market for the emergence of “liars’ loans,” we find that ironically these loans hurt the originating bank more than it did the secondary market.

Keywords: securitization, loan performance, mortage market

JEL Classification: D82, G21

Suggested Citation

Jiang, Wei and Nelson, Ashlyn Aiko and Vytlacil, Edward J., Securitization and Loan Performance: A Contrast of Ex Ante and Ex Post Relations in the Mortgage Market (September 2010). Available at SSRN: https://ssrn.com/abstract=1571300 or http://dx.doi.org/10.2139/ssrn.1571300

Wei Jiang (Contact Author)

Emory University Goizueta Business School ( email )

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ECGI ( email )

c/o the Royal Academies of Belgium
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NBER ( email )

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Cambridge, MA 02138
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Ashlyn Aiko Nelson

Indiana University Bloomington - School of Public & Environmental Affairs (SPEA) ( email )

1315 East Tenth Street
Bloomington, IN 47405
United States

Edward J. Vytlacil

Yale University - Department of Economics ( email )

28 Hillhouse Ave
New Haven, CT 06520-8281
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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