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dc.contributor.authorReite, Endre Jo
dc.date.accessioned2023-12-20T11:59:56Z
dc.date.available2023-12-20T11:59:56Z
dc.date.created2023-11-22T12:08:55Z
dc.date.issued2023
dc.identifier.citationFinance Research Letters. 2023, 58 .en_US
dc.identifier.issn1544-6123
dc.identifier.urihttps://hdl.handle.net/11250/3108383
dc.description.abstractWe examine valuation bias, regulatory loan-to-value limits, and real estate price fluctuations using unique data from two Norwegian banks. We investigate whether automated valuation methods significantly affect foreclosure discounts. Banks using multiple valuation methods tend to report loan-to-value bias by selecting the most optimistic value, underestimating and underreporting risk in declining property markets. This risk increases near regulatory loan-to-value limits, and the findings are robust across homogenous and heterogeneous properties. We recommend reporting automated valuation estimates for all applicable properties and disclosing the percentage of valuations done with different methods to improve transparency and risk comparability between banks.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleMortgage lending valuation bias under housing price changes and loan-to-value regulationsen_US
dc.title.alternativeMortgage lending valuation bias under housing price changes and loan-to-value regulationsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume58en_US
dc.source.journalFinance Research Lettersen_US
dc.identifier.doi10.1016/j.frl.2023.104677
dc.identifier.cristin2200181
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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