Screen More, Sell Later: Screening and Dynamic Signaling in the Mortgage Market

68 Pages Posted: 17 Apr 2025

See all articles by Manuel Adelino

Manuel Adelino

Duke University; Duke Innovation & Entrepreneurship Initiative; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR); Nova School of Business and Economics

Bin Wei

Federal Reserve Bank of Atlanta

Feng Zhao

University of Texas at Dallas - Jindal School of Management

Multiple version iconThere are 2 versions of this paper

Date Written: April, 2025

Abstract

In dynamic models of asset markets with asymmetric information and endogenous screening, the anticipation of signaling through delayed sales incentivizes originators to exert greater effort ex ante. A central prediction in those models is a positive relationship between screening effort and the delay of sale. We test this theoretical prediction using the mortgage market as a laboratory, with processing time serving as a measure of screening effort. In line with the theory, mortgage processing time and the delay of sale after origination are strongly positively related in the data. Both processing time and delay of sale are negatively related to conditional mortgage default, even though mortgages with higher ex ante credit risk are processed slower. This highlights the contrast between observable and unobservable risk and indicates that more screening effort leads to unobservably higher-quality loans that are also sold with a longer delay.

Keywords: processing time, screening, signaling, time to sale, securitization, mortgage loans, lending standards

JEL Classification: G01, G21, G23, G32, R30

Suggested Citation

Adelino, Manuel and Wei, Bin and Zhao, Feng, Screen More, Sell Later: Screening and Dynamic Signaling in the Mortgage Market (April, 2025). FRB Atlanta Working Paper No. 2025-3, Available at SSRN: https://ssrn.com/abstract=5220495 or http://dx.doi.org/10.29338/wp2025-03

Duke Innovation & Entrepreneurship Initiative ( email )

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National Bureau of Economic Research (NBER) ( email )

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Centre for Economic Policy Research (CEPR) ( email )

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Nova School of Business and Economics ( email )

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Bin Wei

Federal Reserve Bank of Atlanta ( email )

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United States

HOME PAGE: http://https://www.frbatlanta.org/research/economists/wei-bin.aspx

Feng Zhao

University of Texas at Dallas - Jindal School of Management ( email )

800 W. Campbell Rd. SM 31
Richardson, TX 75080
United States
972-883-5815 (Phone)

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