Credit Booms and Lending Standards [electronic resource] : Evidence From the Subprime Mortgage Market / Giovanni Dell'Ariccia.

By: Dell'Ariccia, GiovanniContributor(s): Igan, Deniz | Laeven, LucMaterial type: TextTextSeries: IMF Working Papers; Working Paper ; No. 08/106Publication details: Washington, D.C. : International Monetary Fund, 2008Description: 1 online resource (37 p.)ISBN: 1451869673 :ISSN: 1018-5941Subject(s): Applications | Credit Boom | Financial Accelerators | Lending Standards | Mortgage Lenders | Mortgage | Spain | United StatesAdditional physical formats: Print Version:: Credit Booms and Lending Standards : Evidence From the Subprime Mortgage MarketOnline resources: IMF e-Library | IMF Book Store Abstract: This paper links the current sub-prime mortgage crisis to a decline in lending standards associated with the rapid expansion of this market. We show that lending standards declined more in areas that experienced larger credit booms and house price increases. We also find that the underlying market structure mattered, with entry of new, large lenders triggering declines in lending standards by incumbent banks. Finally, lending standards declined more in areas with higher mortgage securitization rates. The results are consistent with theoretical predictions from recent financial accelerator models based on asymmetric information, and shed light on the relationship between credit booms and financial instability.
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This paper links the current sub-prime mortgage crisis to a decline in lending standards associated with the rapid expansion of this market. We show that lending standards declined more in areas that experienced larger credit booms and house price increases. We also find that the underlying market structure mattered, with entry of new, large lenders triggering declines in lending standards by incumbent banks. Finally, lending standards declined more in areas with higher mortgage securitization rates. The results are consistent with theoretical predictions from recent financial accelerator models based on asymmetric information, and shed light on the relationship between credit booms and financial instability.

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