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Detecting Bubbles in the Hong Kong Residential Property Market: An Explosive-Pattern Approach

Author

Listed:
  • Matthew S. Yiu

    (Hong Kong Monetary Authority)

  • Lu Jin

    (Hong Kong Monetary Authority)

Abstract

This study applies the newly developed bubble detection method (Phillips, Wu and Yu, 2011) to identifying asset bubbles in the Hong Kong residential property market. Our empirical results show that the method is capable of detecting the 1997 bubble and is able to reveal the corresponding origination and collapse, showing its superiority over the standard unit root and co-integration method. During the period between mid-2009 and early 2011, the method indicates strong upward price pressure in the mass segment and bubble-type behaviour in two short periods of time in the luxury segment. The results, however, show potential shortcomings of the method including: the high correlation between the price-rent differentials and t-statistics near the critical values, and the symmetric property towards explosive growth and precipitant fall of the time series.

Suggested Citation

  • Matthew S. Yiu & Lu Jin, 2012. "Detecting Bubbles in the Hong Kong Residential Property Market: An Explosive-Pattern Approach," Working Papers 012012, Hong Kong Institute for Monetary Research.
    • Handle: RePEc:hkm:wpaper:012012
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Funke, Michael & Paetz, Michael, 2013. "Housing prices and the business cycle: An empirical application to Hong Kong," Journal of Housing Economics, Elsevier, vol. 22(1), pages 62-76.
    2. Peter C.B. Phillips & Shu-Ping Shi, 2014. "Financial Bubble Implosion," Cowles Foundation Discussion Papers 1967, Cowles Foundation for Research in Economics, Yale University.
    3. Jing Li & Ying Xu, 2016. "Evaluating restrictive measures containing housing prices in China: A data envelopment analysis approach," Urban Studies, Urban Studies Journal Limited, vol. 53(12), pages 2654-2669, September.
    4. Dong He, 2013. "Hong Kong’s Approach to Financial Stability," International Journal of Central Banking, International Journal of Central Banking, vol. 9(1), pages 299-313, March.
    5. Blasques, Francisco & Koopman, Siem Jan & Nientker, Marc, 2022. "A time-varying parameter model for local explosions," Journal of Econometrics, Elsevier, vol. 227(1), pages 65-84.
    6. repec:agr:journl:v:4(605):y:2015:i:4(605):p:275-290 is not listed on IDEAS
    7. Kräussl, Roman & Lehnert, Thorsten & Martelin, Nicolas, 2016. "Is there a bubble in the art market?," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 99-109.
    8. Ting Lan, 2019. "Intrinsic bubbles and Granger causality in the Hong Kong residential property market," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-15, December.
    9. Honglin Wang & Chu Zhang & Weihang Dai, 2013. "Rental Adjustment and Housing Prices: Evidence from Hong Kong's Residential Property Market," Working Papers 012013, Hong Kong Institute for Monetary Research.
    10. Abdullah Yavas, 2013. "Asset Price Bubbles and Monetary Policy," Working Papers 102013, Hong Kong Institute for Monetary Research.
    11. Akcay, Belgin & Yucel, Eray, 2014. "Unveiling the House Price Movements and Financial Development," MPRA Paper 59377, University Library of Munich, Germany, revised 19 Oct 2014.
    12. Roselyne Joyeux & George Milunovich, 2015. "Speculative bubbles, financial crises and convergence in global real estate investment trusts," Applied Economics, Taylor & Francis Journals, vol. 47(27), pages 2878-2898, June.
    13. Su-Ling TSAI & Hsien-Hung KUNG & Kai-yin Allison HAGA, 2015. "Testing for Multiple Bubbles in the 35 Large and Medium Cities of Real Estate Price in China," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(605), W), pages 275-290, Winter.

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    More about this item

    Keywords

    Asset Bubble; Residential Property Prices; Right-Tailed Unit Root Test; Explosive Behaviour; Price-To-Rent Ratio;
    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
    • 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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