Testing Style Factors to Explain Property-Level Real Estate Returns

Summary

The report asks whether property-level real estate returns can be explained by style characteristics in addition to property type and location. Using quarterly data on more than 25,000 UK retail, office, and industrial properties from 2002 to 2020, it applies cross-sectional regressions to test five factors: asset value, equivalent yield, leasing profile, rental growth, and prior total return. Exposures are measured using information from the preceding year. Traditional property and geographic categories explain an average 17% of return variation; the five style factors add an average 9%. Yield, leasing profile, and momentum show the most promising results, while size and growth contribute less. The authors describe the analysis as exploratory: it covers one national market and a limited set of candidate factors, and the results are not conclusive. The framework may support performance attribution and portfolio analysis, but it does not establish a definitive real estate factor model.

Key ideas

• Property type and geographic segments explain only part of the observed property-level return variation in the UK sample.
• The tested real estate factors are asset value, yield, leasing profile, rental growth, and momentum.
• The factor exposures are measured using information from the year before the return period.
• Yield, leasing profile, and momentum show the most promising explanatory results among those tested.
• The findings are exploratory and limited to a single national market and a small set of candidate factors.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.