Housing Yields

Abstract We build a granular data set of residential property yields using rental and sale listings from a major German real estate platform. With more than 1.5 million property-level rent-to-price ratios, we document a novel heterogeneity puzzle. About two-fifths of yield dispersion remains unexplained after controlling for extensive observable property characteristics and postal code-level time-varying factors using fixed effects. When we absorb finer neighborhood amenities through richer fixed effects, the unexplained share remains close to one-third. This evidence points to the importance of investors’ beliefs and preferences—rather than several alternative explanations we test—as sources of heterogeneity in risk premia.

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Publication Details

Journal
Journal of Financial and Quantitative Analysis
Published
2026-11-04
DOI
https://doi.org/10.1017/s0022109026103470
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
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article

Housing Yields

Stefano Colonnello, Roberto Marfè, Qizhou Xiong
Journal of Financial and Quantitative Analysis
Housing Market and Economics
article

Housing Yields

Stefano Colonnello, Roberto Marfè, Qizhou Xiong
article en

Abstract

Abstract We build a granular data set of residential property yields using rental and sale listings from a major German real estate platform. With more than 1.5 million property-level rent-to-price ratios, we document a novel heterogeneity puzzle. About two-fifths of yield dispersion remains unexplained after controlling for extensive observable property characteristics and postal code-level time-varying factors using fixed effects. When we absorb finer neighborhood amenities through richer fixed effects, the unexplained share remains close to one-third. This evidence points to the importance of investors’ beliefs and preferences—rather than several alternative explanations we test—as sources of heterogeneity in risk premia.

Journal of Financial and Quantitative Analysis
Collegio Carlo Alberto (IT), Ca' Foscari University of Venice (IT), University of Oxford (GB), University of Turin (IT)
Openalex Percentile: Top 11%
Housing Market and Economics
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