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Time-varying spillovers among first-tier housing markets in China

Author

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  • Chien-Fu Chen

    (National Dong Hwa University, Taiwan)

  • Shu-hen Chiang

    (Chung-Yuan Christian University, Taiwan)

Abstract

Numerous efforts have over the last few years been devoted to studying spillovers (ripple effects) among cities as a means of evaluating overheated housing markets. What seems to be lacking, however, is the application of a rolling-window approach to further explore time-varying spillovers in a timely manner in order to look more closely at a housing market with Chinese characteristics; for example, a market with rapidly increasing prices and a sequence of policy recommendations. By focusing on total, directional and net spillovers, and using 2000–2017 monthly housing price data across six Chinese cities, this study’s results indicate that time-varying spillovers provide a better understanding of the interactions among first-tier cities. It is interesting to note that, following the downside risk faced by the economy in 2014, the spillovers among cities have been abruptly transformed into those exhibiting bilateral co-movements based on high total spillovers and low net spillovers, and these results are also confirmed by the frequency dynamics of spillovers. Based on the above, there is sufficient evidence to conclude that the housing frenzies in China, which have become a national-level issue, deserve a more explicit macro-control policy in relation to real estate assets.

Suggested Citation

  • Chien-Fu Chen & Shu-hen Chiang, 2020. "Time-varying spillovers among first-tier housing markets in China," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 844-864, March.
  • Handle: RePEc:sae:urbstu:v:57:y:2020:i:4:p:844-864
    DOI: 10.1177/0042098019841580
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    1. Costello, Greg & Fraser, Patricia & Groenewold, Nicolaas, 2011. "House prices, non-fundamental components and interstate spillovers: The Australian experience," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 653-669, March.
    2. Carol Alexander & Michael Barrow, 1994. "Seasonality and Cointegration of Regional House Prices in the UK," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1667-1689, December.
    3. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    4. Rangan Gupta & Stephen Miller, 2012. "“Ripple effects” and forecasting home prices in Los Angeles, Las Vegas, and Phoenix," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 763-782, June.
    5. Shang-Jin Wei & Xiaobo Zhang, 2011. "The Competitive Saving Motive: Evidence from Rising Sex Ratios and Savings Rates in China," Journal of Political Economy, University of Chicago Press, vol. 119(3), pages 511-564.
    6. Tiwari, Aviral Kumar & Cunado, Juncal & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility spillovers across global asset classes: Evidence from time and frequency domains," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 194-202.
    7. 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.
    8. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    9. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    10. Brady, Ryan R., 2014. "The spatial diffusion of regional housing prices across U.S. states," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 150-166.
    11. Hassan Gholipour Fereidouni & Usama Al-Mulali & Janice Y. M. Lee & Abdul Hakim Mohammed, 2016. "Dynamic Relationship between House Prices in Malaysia's Major Economic Regions and Singapore House Prices," Regional Studies, Taylor & Francis Journals, vol. 50(4), pages 657-670, April.
    12. Chen, Pei-Fen & Chien, Mei-Se & Lee, Chien-Chiang, 2011. "Dynamic modeling of regional house price diffusion in Taiwan," Journal of Housing Economics, Elsevier, vol. 20(4), pages 315-332.
    13. 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.
    14. Křehlík, Tomáš & Baruník, Jozef, 2017. "Cyclical properties of supply-side and demand-side shocks in oil-based commodity markets," Energy Economics, Elsevier, vol. 65(C), pages 208-218.
    15. Chien-Chiang Lee & Mei-Se Chien, 2011. "Empirical Modelling of Regional House Prices and the Ripple Effect," Urban Studies, Urban Studies Journal Limited, vol. 48(10), pages 2029-2047, August.
    16. Lau, Marco Chi Keung & Vigne, Samuel A. & Wang, Shixuan & Yarovaya, Larisa, 2017. "Return spillovers between white precious metal ETFs: The role of oil, gold, and global equity," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 316-332.
    17. Zhou, Xiangyi & Zhang, Weijin & Zhang, Jie, 2012. "Volatility spillovers between the Chinese and world equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 247-270.
    18. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    19. Ming-Chu Chiang & Tien Foo Sing & I-Chun Tsai, 2017. "Spillover Risks in REITs and other Asset Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 579-604, May.
    20. Shu-hen Chiang, 2014. "Housing Markets in China and Policy Implications: Comovement or Ripple Effect," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 22(6), pages 103-120, November.
    21. McDonald, Ronald & Taylor, Mark P, 1993. "Regional House Prices in Britain: Long-Run Relationships and Short-Run Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 40(1), pages 43-55, February.
    22. Nafeesa Yunus & Peggy E. Swanson, 2013. "A Closer Look at the U.S. Housing Market: Modeling Relationships among Regions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 41(3), pages 542-568, September.
    23. Chengsi Zhang & Guojun An & Xin Yu, 2012. "What Drives China's House Prices: Marriage or Money?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(4), pages 19-36, July.
    24. I-Chun Tsai, 2015. "Spillover Effect between the Regional and the National Housing Markets in the UK," Regional Studies, Taylor & Francis Journals, vol. 49(12), pages 1957-1976, December.
    25. Kim Hiang Liow, 2014. "The dynamics of return co-movements and volatility spillover effects in Greater China public property markets and international linkages," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 32(6), pages 610-641, August.
    26. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    27. Zhang, Chengsi, 2013. "Money, housing, and inflation in China," Journal of Policy Modeling, Elsevier, vol. 35(1), pages 75-87.
    28. Gong, Yunlong & Hu, Jinxing & Boelhouwer, Peter J., 2016. "Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 103-117.
    29. Kim Hiang Liow & Shao Yue Angela, 2017. "Return and co-movement of major public real estate markets during global financial crisis," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 35(5), pages 489-508, August.
    30. Liow, Kim Hiang & Liao, Wen-Chi & Huang, Yuting, 2018. "Dynamics of international spillovers and interaction: Evidence from financial market stress and economic policy uncertainty," Economic Modelling, Elsevier, vol. 68(C), pages 96-116.
    31. KimHiang Liow, 2016. "Global financial crisis and cyclical co-movements of Asian financial markets," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 34(5), pages 465-495, August.
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