We develop a Monte Carlo procedure to project MSA-level house-price paths from 2013 to 2023. These price paths are applied to a fixed portfolio of synthetic mortgages in order to estimate credit risk spreads (CRS) for each MSA. Like the well-known annual percentage rate (APR)-which converts an array of fees into an all-encompassing annual measure of costs to borrowers-the CRS is a holistic measure that encompasses both expected losses from default plus the cost of capital (or unexpected credit losses) needed to cover losses in a stress scenario. We find variation in the CRS across MSAs, with the range spanning 37 basis points. This range spans 86 basis points for those carrying first-loss positions, such as private mortgage insurers. We conclude that, in order to accurately price credit risk, it is necessary to monitor more than borrower characteristics, but also local economic conditions.
机构:
Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R ChinaNankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
Fu, Jianping
Wang, Xingchun
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Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R ChinaNankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
Wang, Xingchun
Wang, Yongjin
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Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
Nankai Univ, Sch Business, Tianjin 300071, Peoples R ChinaNankai Univ, Sch Math Sci, Tianjin 300071, Peoples R China
机构:
Ctr Res Econ & Stat CREST, F-91120 Palaiseau, FranceCtr Res Econ & Stat CREST, F-91120 Palaiseau, France
Monfort, Alain
Pegoraro, Fulvio
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Ctr Res Econ & Stat CREST, F-91120 Palaiseau, France
Autorite Controle Prudentiel & Resolut ACPR, Direct Etud & Anal Risques, F-75436 Paris, FranceCtr Res Econ & Stat CREST, F-91120 Palaiseau, France
Pegoraro, Fulvio
Renne, Jean-Paul
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Univ Lausanne, Fac Hautes Etud Commerciales HEC, CH-1015 Lausanne, SwitzerlandCtr Res Econ & Stat CREST, F-91120 Palaiseau, France
Renne, Jean-Paul
Roussellet, Guillaume
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McGill Univ, Desautels Fac Management, Montreal, PQ H3A 1G5, CanadaCtr Res Econ & Stat CREST, F-91120 Palaiseau, France