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Housing price cycles and aggregate business cycles: stylised facts in the case of Malaysia

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  • Hon-Chung Hui

    (University of Nottingham, Malaysia)

Abstract

We document how housing price cycles relate to broader economic cycles in terms of (i) lead-lag characteristics and (ii) causal linkages between cyclical fluctuations in house prices and cyclical fluctuations in other parts of the economy. Consistent with the findings in the extant literature, our results show that housing price is pro-cyclical with respect to the aggregate business cycle. Second, cyclical variations in house prices are more strongly correlated with the real economy than with the financial sector. Third, housing price cycles are rather autonomous in the sense that they can be predicted by only a limited number of macroeconomic time series. While house price is a good in-sample predictor for cyclical fluctuations in various macroeconomic time series, the out-of-sample performance suggests that house price is appropriate for predicting a more limited range of macroeconomic cycles. Some policy implications follow from these findings.

Suggested Citation

  • Hon-Chung Hui, 2013. "Housing price cycles and aggregate business cycles: stylised facts in the case of Malaysia," Journal of Developing Areas, Tennessee State University, College of Business, vol. 47(1), pages 149-169, January-J.
  • Handle: RePEc:jda:journl:vol.47:year:2013:issue1:pp:149-169
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    Citations

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    Cited by:

    1. Le, Thai-Ha, 2015. "Do soaring global oil prices heat up the housing market? Evidence from Malaysia," Economics Discussion Papers 2015-8, Kiel Institute for the World Economy (IfW Kiel).
    2. Nan-Yu Wang & Jen-Yu Lee & Chih-Jen Huang, 2022. "The Effect of the Principal Component Index for Housing Quality Satisfaction on Housing Price: Urban vs. Rural Analysis," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(10), pages 1-63, October.
    3. Le, Thai-Ha, 2015. "Do soaring global oil prices heat up the housing market? Evidence from Malaysia," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-30.
    4. Ivan D. Trofimov Nazaria Md. Aris Dickson C. D. Xuan, 2018. "Macroeconomic and Demographic Determinants of Residential Property Prices in Malaysia," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 21(2), pages 71-96, November.
    5. Gary John Rangel & Jason Wei Jian Ng, 2017. "Macroeconomic Drivers of Singapore Private Residential Prices: A Markov-Switching Approach," Capital Markets Review, Malaysian Finance Association, vol. 25(2), pages 15-31.
    6. Geok Peng Yeap & Hooi Hooi Lean, 2020. "Supply elasticity of new housing supply in Malaysia: an analysis across housing sub-markets," Economics Bulletin, AccessEcon, vol. 40(1), pages 807-820.

    More about this item

    Keywords

    housing price cycles; lead-lag relationship; forecasting;
    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
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment

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