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Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence

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  • Daniel Melser

    (Monash University)

  • Robert J. Hill

    (University of Graz)

Abstract

This paper outlines and applies a methodology for estimating and examining the variation in risk and return for individual homes. This is important because most households own individual properties and the risk and return profile of each of these may differ. We use large data sets of home prices and rents for Sydney, Australia, from 2002-16, and estimate flexible smoothing spline hedonic models. These models are used to construct total returns—the sum of capital gains and the rental yield net of costs—for the homes in our data. We find that Sydney homes had, on average, both higher returns than shares and much lower risk. This gave them a far superior Sharpe ratio. Moreover, while we find that shares benefit to a greater extent from diversification than homes, the Sharpe ratio of a large portfolio of shares was still well below that of the average single home. Interestingly, we find that much of the variation in risk and return across properties can be explained by observable home characteristics. In particular houses had stronger returns than did apartments.

Suggested Citation

  • Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
  • Handle: RePEc:kap:jrefec:v:59:y:2019:i:1:d:10.1007_s11146-018-9668-x
    DOI: 10.1007/s11146-018-9668-x
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    Cited by:

    1. Zhou, Wenwen & Chen, Mengyao & Yang, Zaoli & Song, Xiaobo, 2021. "Real estate risk measurement and early warning based on PSO-SVM," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    2. Shizhen Wang & David Hartzell, 2021. "Real Estate Return in Hong Kong and its Determinants: A Dynamic Gordon Growth Model Analysis," International Real Estate Review, Global Social Science Institute, vol. 24(1), pages 113-138.
    3. P. S. Morawakage & G. Earl & B. Liu & E. Roca & A. Omura, 2023. "Housing Risk and Returns in Submarkets with Spatial Dependence and Heterogeneity," The Journal of Real Estate Finance and Economics, Springer, vol. 67(4), pages 695-734, November.
    4. Morteza Moallemi & Daniel Melser & Xiaoyan Chen & Ashton Silva, 2022. "The Globalization of Local Housing Markets: Immigrants, the Motherland and Housing Prices in Australia," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 103-126, July.

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    More about this item

    Keywords

    Residential real estate; Hedonic regression; Risk and return; Diversification;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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