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Determinants of a Foreclosure Discount

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  • Donner, Herman

    (Department of Real Estate and Construction Management, Royal Institute of Technology)

Abstract

Using a dataset with individual appraisals of foreclosed apartments sold through auction in Stockholm, Sweden, the issue of selection bias and a potential overestimation of a foreclosure related discount on price is addressed. A mean discount of 7.9% with a corresponding median value of 9.5% is shown. A hedonic model is also applied. It is found that about half of the impact on price caused by a forced sale is attributable to the search process on the real estate market. These results contrasts from earlier research having explained a negative impact on price to seller motivational factors. These results provide insight towards the dynamics of a negative impact on price caused by a forced sale, and has the potential to allow stakeholders to model a potential discount in greater detail for individual foreclosed properties, and contribute to management of credit risk.

Suggested Citation

  • Donner, Herman, 2017. "Determinants of a Foreclosure Discount," Working Paper Series 17/2, Royal Institute of Technology, Department of Real Estate and Construction Management & Banking and Finance.
    • Handle: RePEc:hhs:kthrec:2017_002
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    Cited by:

    1. M. Lundholm, 2021. "Compensation and Socio-Economic Status of Borrowers in Foreclosure: Evidence from Swedish Micro-data," Journal of Consumer Policy, Springer, vol. 44(1), pages 95-116, March.

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    More about this item

    Keywords

    Foreclosure; Hedonic Models;

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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