High water, no marks? Biased lending after extreme weather
Nicola Garbarino and
Benjamin Guin
Journal of Financial Stability, 2021, vol. 54, issue C
Abstract:
Policymakers have put forward proposals to ensure that banks do not underestimate long-term risks from climate change. To examine how lenders account for extreme weather, we compare matched repeat mortgage and property transactions around a severe flood event in England in 2013–14. First, lender valuations do not “mark-to-market” against local price declines. As a result valuations are biased upwards. Second, lenders do not offset this valuation bias by adjusting interest rates or loan amounts. Third, borrowers with low credit risk self-select into high flood risk areas. Overall, these results suggest that lenders do not track closely the impact of extreme weather ex-post, and that public flood insurance programs subsidize high income households in some areas.
Keywords: Climate; Flooding; House prices; Mortgages (search for similar items in EconPapers)
JEL-codes: D12 G21 Q51 Q54 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (25)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1572308921000346
Full text for ScienceDirect subscribers only
Related works:
Working Paper: High water, no marks? Biased lending after extreme weather (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finsta:v:54:y:2021:i:c:s1572308921000346
DOI: 10.1016/j.jfs.2021.100874
Access Statistics for this article
Journal of Financial Stability is currently edited by I. Hasan, W. C. Hunter and G. G. Kaufman
More articles in Journal of Financial Stability from Elsevier
Bibliographic data for series maintained by Catherine Liu ().