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Is there a housing bubble in China?

Author

Listed:
  • Zhi, Tianhao
  • Li, Zhongfei
  • Jiang, Zhiqiang
  • Wei, Lijian
  • Sornette, Didier

Abstract

This paper aims to conduct a series of bubble diagnostic analysis over 35 representative Chinese cities. We apply the Log-Periodic-Power-Law-Singularity (LPPLS) model to detect whether there is any evidence of unsustainable, self-reinforcing speculative behaviours amongst the price series. We also investigate whether the prices had been significantly deviating from economic fundamentals by applying the E-G cointegration test. Overall, we found that 10 out of the 35 cities being examined had exhibited positive LPPLS signals. We propose that it is vital to conduct bubble diagnostic tests and implement relevant policies toward specific bubble characteristics.

Suggested Citation

  • Zhi, Tianhao & Li, Zhongfei & Jiang, Zhiqiang & Wei, Lijian & Sornette, Didier, 2019. "Is there a housing bubble in China?," Emerging Markets Review, Elsevier, vol. 39(C), pages 120-132.
    • Handle: RePEc:eee:ememar:v:39:y:2019:i:c:p:120-132
    DOI: 10.1016/j.ememar.2019.04.005
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    References listed on IDEAS

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    1. Sornette, Didier & Zhou, Wei-Xing, 2004. "Evidence of fueling of the 2000 new economy bubble by foreign capital inflow: implications for the future of the US economy and its stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 332(C), pages 412-440.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Didier SORNETTE & Guilherme DEMOS & Zhang QUN & Peter CAUWELS & Vladimir FILIMONOV & Qunzhi ZHANG, 2015. "Real-Time Prediction and Post-Mortem Analysis of the Shanghai 2015 Stock Market Bubble and Crash," Swiss Finance Institute Research Paper Series 15-32, Swiss Finance Institute.
    4. Zhang Qun & Didier Sornette & Hao Zhang, 2017. "Anticipating Critical Transitions of Chinese Housing Markets," Swiss Finance Institute Research Paper Series 17-18, Swiss Finance Institute.
    5. Vladimir Filimonov & Didier Sornette, 2011. "A Stable and Robust Calibration Scheme of the Log-Periodic Power Law Model," Papers 1108.0099, arXiv.org, revised Jun 2013.
    6. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    7. Ashvin Ahuja & Lillian Cheung & Gaofeng Han & Nathan Porter & Wenlang Zhang, 2010. "Are House Prices Rising Too Fast in China?," Working Papers 1008, Hong Kong Monetary Authority.
    8. Jiang, Zhi-Qiang & Zhou, Wei-Xing & Sornette, Didier & Woodard, Ryan & Bastiaensen, Ken & Cauwels, Peter, 2010. "Bubble diagnosis and prediction of the 2005-2007 and 2008-2009 Chinese stock market bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 74(3), pages 149-162, June.
    9. Petr Zemcik & Vyacheslav Mikhed, 2007. "Testing for Bubbles in Housing Markets: A Panel Data Approach," ERES eres2007_128, European Real Estate Society (ERES).
    10. James M. Poterba, 1984. "Tax Subsidies to Owner-Occupied Housing: An Asset-Market Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 99(4), pages 729-752.
    11. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2012. "Evaluating conditions in major Chinese housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 531-543.
    12. Vladimir Filimonov & Didier Sornette, "undated". "A Stable and Robust Calibration Scheme of the Log-Periodic Power Law Model," Working Papers ETH-RC-11-002, ETH Zurich, Chair of Systems Design.
    13. Joshua Gallin, 2006. "The Long-Run Relationship between House Prices and Income: Evidence from Local Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 34(3), pages 417-438, September.
    14. Filimonov, V. & Sornette, D., 2013. "A stable and robust calibration scheme of the log-periodic power law model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3698-3707.
    15. Karl E. Case & Robert J. Shiller, 2003. "Is There a Bubble in the Housing Market?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 299-362.
    16. Edward Glaeser & Wei Huang & Yueran Ma & Andrei Shleifer, 2017. "A Real Estate Boom with Chinese Characteristics," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 93-116, Winter.
    17. Bala Arshanapalli & William Nelson, 2008. "A Cointegration Test To Verify The Housing Bubble," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 2(2), pages 35-43.
    18. Mr. Ashvin Ahuja & Lillian Cheung & Gaofeng Han & Mr. Nathan Porter & Wenlang Zhang, 2010. "Are House Prices Rising Too Fast in China?," IMF Working Papers 2010/274, International Monetary Fund.
    19. Zhou, Wei-Xing & Sornette, Didier, 2006. "Is there a real-estate bubble in the US?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(1), pages 297-308.
    20. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.
    21. Vyacheslav Mikhed & Petr Zemcik, 2007. "Testing for Bubbles in Housing Markets: A Panel Data Approach," CERGE-EI Working Papers wp338, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    22. International Monetary Fund, 2010. "Are House Prices Rising too Fast in Hong Kong SAR?," IMF Working Papers 2010/273, International Monetary Fund.
    23. repec:arz:wpaper:eres2007-128 is not listed on IDEAS
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    More about this item

    Keywords

    Housing bubble; Log-period-power-law-singularity; Bubble prediction; Chinese housing market;
    All these keywords.

    JEL classification:

    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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