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How Predictable? Rent Growth and Returns in Sydney and Melbourne Housing Markets

Author

Listed:
  • Glenn Otto

    (School of Economics, UNSW Business School, UNSW)

  • Nigel Stapledon

    (School of Economics, UNSW Business School, UNSW)

Abstract

We construct rent-price ratios for houses and units in 82 local government areas in the Sydney and Melbourne markets for the period 1985/86-2015. Using this annual data we employ long-horizon regression techniques and find that rent-price ratios (i.e. rental yields) have predictive content for both future real housing returns and future growth rates of real rents. However rents and returns have greater predictability in Sydney than in Melbourne. Using a variance decomposition for the rent-price ratio implied by the present-value model, we find that variation in rental yields of units in Sydney is almost fully accounted for by expected changes in future rent growth and returns. There appears to be no role for rational bubbles in influencing the prices of Sydney units. In contrast – on average – lesser portions of the variance in rental yields on houses in Sydney (two thirds) and Melbourne (one third) and units in Melbourne (60 percent) is explained by expected future returns and rents. Evidently there is scope for (stochastic) rational bubbles to have affected these markets. Our results point to an important difference between the behaviour of residential housing markets and stock markets. In the stock market, current changes in dividend-price ratios do not appear to reflect important variations in future dividend growth. Our results for Sydney and Melbourne suggest that current changes in rent-price ratios do signal future changes in rent growth.

Suggested Citation

  • Glenn Otto & Nigel Stapledon, 2017. "How Predictable? Rent Growth and Returns in Sydney and Melbourne Housing Markets," Discussion Papers 2017-01, School of Economics, The University of New South Wales.
    • Handle: RePEc:swe:wpaper:2017-01
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    File URL: http://research.economics.unsw.edu.au/RePEc/papers/2017-01.pdf
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    References listed on IDEAS

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    6. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
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    Cited by:

    1. Trent Saunders & Peter Tulip, 2020. "A Model of the Australian Housing Market," The Economic Record, The Economic Society of Australia, vol. 96(S1), pages 1-25, June.
    2. Trent Saunders & Peter Tulip, 2019. "A Model of the Australian Housing Market," RBA Research Discussion Papers rdp2019-01, Reserve Bank of Australia.
    3. Glenn Otto, 2021. "Accounting for Longer‐Run Changes in Australian House Prices," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(3), pages 362-374, September.

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    More about this item

    Keywords

    Symmetry; Rent-price ratio; Housing returns; Rent growth; Long horizon regression;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • 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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