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A Model of Mortgage Default
Open accessAbstract
In this paper, we solve a dynamic model of households' mortgage decisions incorporating labor income, house price, inflation, and interest rate risk. Using a zero‐profit condition for mortgage lenders, we solve for equilibrium mortgage rates given borrower characteristics and optimal decisions. The model quantifies the effects of adjustable versus fixed mortgage rates, loan‐to‐value ratios, and mortgage affordability measures on mortgage premia and default. Mortgage selection by heterogeneous borrowers helps explain the higher default rates on adjustable‐rate mortgages during the recent U.S. housing downturn, and the variation in mortgage premia with the level of interest rates.
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Cited by
Predictably Unequal? The Effects of Machine Learning on Credit Markets
FUSTER, A., GOLDSMITH‐PINKHAM, P., RAMADORAI, T., & WALTHER, A. (2022) · The Journal of Finance · doi:10.1111/jofi.13090 · Cited by 872
Predictably Unequal? The Effects of Machine Learning on Credit Markets
Fuster, A., Goldsmith-Pinkham, P. S., Ramadorai, T., & Walther, A. (2017) · doi:10.2139/ssrn.3072038 · Cited by 769
Safer ratios, riskier portfolios: Banks׳ response to government aid
Duchin, R., & Sosyura, D. (2014) · Journal of Financial Economics · doi:10.1016/j.jfineco.2014.03.005 · Cited by 459
House Prices and Consumer Spending
Berger, D., Guerrieri, V., Lorenzoni, G., & Vavra, J. (2018) · The Review of Economic Studies · doi:10.1093/restud/rdx060 · Cited by 364
Sources of Inaction in Household Finance: Evidence from the Danish Mortgage Market
Andersen, S., Campbell, J. Y., Nielsen, K. M., & Ramadorai, T. (2020) · American Economic Review · doi:10.1257/aer.20180865 · Cited by 262
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Metadata
- Authors
- CAMPBELL, J. Y., & COCCO, J. F.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 2015-07-23
- Volume
- 70
- Issue
- 4
- Pages
- 1495-1554
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W2150637392
- Cited by
- 464
- References
- 0
- FWCI
- 40.25
- Type
- journal article
- Language
- en
- Open access
- green
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