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.
Authors
- Stefano Colonnello (ORCID: https://orcid.org/0000-0001-5313-9899)
- Roberto Marfè (ORCID: https://orcid.org/0000-0001-9685-9538)
- Qizhou Xiong
Institutions
- Collegio Carlo Alberto (IT)
- Ca' Foscari University of Venice (IT)
- University of Oxford (GB)
- University of Turin (IT)
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
- 0.00