Loan to Value Caps and Government-Backed Mortgage Insurance:Loan-Level Evidence from Dutch Residential Mortgages

Using loan level data on mortgage loans originated by Dutch banks during 1996 to 2015, we analyse the determinants of the incidence of non-performance. We find that both the originating loan-to-value ratio (OLTV) and the debt-service-to-income ratio are significantly positively associated with the probability of non-performance. The results suggest that mortgages with government-loan-guarantees perform better. Moreover, several mortgage loan and borrower characteristics, such as the (interest-only) loan type and the underwater status of the borrower, increase credit risk. Our model predictions... Mehr ...

Verfasser: de Haan, Leo
Mastrogiacomo, Mauro
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Reihe/Periodikum: de Haan , L & Mastrogiacomo , M 2020 , ' Loan to Value Caps and Government-Backed Mortgage Insurance : Loan-Level Evidence from Dutch Residential Mortgages ' , Economist (Netherlands) , vol. 168 , no. 4 , pp. 453-473 . https://doi.org/10.1007/s10645-020-09367-w
Schlagwörter: Credit risk / Loan guarantees / Loan to value / Mortgage insurance / Mortgage loans / /dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growth / name=SDG 8 - Decent Work and Economic Growth
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29461742
Datenquelle: BASE; Originalkatalog
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Link(s) : https://research.vu.nl/en/publications/8b9af028-1580-4a26-b029-75ccc2d7b19e

Using loan level data on mortgage loans originated by Dutch banks during 1996 to 2015, we analyse the determinants of the incidence of non-performance. We find that both the originating loan-to-value ratio (OLTV) and the debt-service-to-income ratio are significantly positively associated with the probability of non-performance. The results suggest that mortgages with government-loan-guarantees perform better. Moreover, several mortgage loan and borrower characteristics, such as the (interest-only) loan type and the underwater status of the borrower, increase credit risk. Our model predictions suggest a novel policy implication: in order to avoid acceleration of non-performance probabilities, the OLTV-limit should be set to about 70–80% for uninsured mortgages, and to about 90% for those with mortgage insurance.