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Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries

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  • Engsted, Tom
  • Pedersen, Thomas Q.

Abstract

We conduct a comprehensive international study of predictability in housing markets using the rent-price ratio as a predictive variable. On data from 18 OECD countries we generally find return predictability in accordance with time-varying risk-premia, but we also document two puzzles. First, there is a highly unstable predictive pattern in rent growth across countries and time periods. Second, the predictive patterns are highly dependent on whether housing returns and rents are measured in nominal or real terms. These results are difficult to reconcile with fully rational expectations. Among other things, the results indicate that housing markets in many countries suffer from money illusion.

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  • 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.
  • Handle: RePEc:eee:jimfin:v:53:y:2015:i:c:p:257-275
    DOI: 10.1016/j.jimonfin.2015.02.001
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    1. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
    2. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
    3. John C. Williams, 2013. "Bubbles tomorrow and bubbles yesterday, but never bubbles today?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue sept23.
    4. Bago, Jean-Louis & Akakpo, Koffi & Rherrad, Imad & Ouédraogo, Ernest, 2020. "Volatility Spillover and International Contagion of Housing Bubbles," MPRA Paper 100098, University Library of Munich, Germany.
    5. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    6. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
    7. 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.
    8. Floro, Danvee, 2019. "Testing the predictive ability of house price bubbles for macroeconomic performance: A meta-analytic approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 164-181.
    9. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    10. Bago, Jean-Louis & Souratié, Wamadini M. & Ouédraogo, Moussa & Ouédraogo, Ernest & Dembélé, Alou, 2019. "Financial Bubbles : New Evidence from South Africa’s Stock Market," MPRA Paper 95685, University Library of Munich, Germany.

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    More about this item

    Keywords

    Housing market predictability; Dynamic Gordon growth model; Rent-price ratio; VAR model; Expectations; Money illusion; OECD countries;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • 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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