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Low‐ frequency versus high‐frequency housing price spillovers in China

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  • Jian Yang
  • Zheng Li
  • Ziliang Yu

Abstract

Applying a novel high‐dimensional frequency‐domain‐based spillover index approach, this paper explores low‐frequency versus high‐frequency housing price spillovers among 70 Chinese cities. Intensive interactions among these cities were dominated by high‐frequency spillovers around the end of 2015, while low‐frequency spillovers have dominated since 2016. This coincided with dramatic changes in government policies, particularly the abolition of the ‘one‐child’ policy. Furthermore, city‐level economic factors were the primarily significant determinants of high‐frequency housing price spillovers within several months, while education was a major determinant of low‐frequency housing price spillovers in China, which was consistent with the distinction between work‐based and education‐based migration in China.

Suggested Citation

  • Jian Yang & Zheng Li & Ziliang Yu, 2024. "Low‐ frequency versus high‐frequency housing price spillovers in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(4), pages 3713-3749, December.
  • Handle: RePEc:bla:acctfi:v:64:y:2024:i:4:p:3713-3749
    DOI: 10.1111/acfi.13269
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    1. Bolt, Wilko & Demertzis, Maria & Diks, Cees & Hommes, Cars & Leij, Marco van der, 2019. "Identifying booms and busts in house prices under heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 234-259.
    2. Martínez-García, Enrique & Grossman, Valerie, 2020. "Explosive dynamics in house prices? An exploration of financial market spillovers in housing markets around the world," Journal of International Money and Finance, Elsevier, vol. 101(C).
    3. Kim Hiang Liow & Xiaoxia Zhou & Qing Ye, 2015. "Correlation Dynamics and Determinants in International Securitized Real Estate Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(3), pages 537-585, September.
    4. Hanming Fang & Quanlin Gu & Wei Xiong & Li-An Zhou, 2016. "Demystifying the Chinese Housing Boom," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 105-166.
    5. Mankiw, N. Gregory & Weil, David N., 1989. "The baby boom, the baby bust, and the housing market," Regional Science and Urban Economics, Elsevier, vol. 19(2), pages 235-258, May.
    6. 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.
    7. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    8. Chen, Qiuyu & Feng, Ling & Li, Zhiyuan & Lin, Ching-Yi, 2021. "Housing prices and trade surpluses in China: An inter-temporal approach," Journal of International Money and Finance, Elsevier, vol. 110(C).
    9. 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.
    10. Flor, Michael A. & Klarl, Torben, 2017. "On the cyclicity of regional house prices: New evidence for U.S. metropolitan statistical areas," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 134-156.
    11. JingJing (Justine) Wang & John S. Croucher, 2021. "Information linkages among National, NSW, VIC, and QLD real estate markets in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3207-3234, June.
    12. Nicholson, William B. & Matteson, David S. & Bien, Jacob, 2017. "VARX-L: Structured regularization for large vector autoregressions with exogenous variables," International Journal of Forecasting, Elsevier, vol. 33(3), pages 627-651.
    13. Chang, Yuk-Ying & Dasgupta, Sudipto, 2022. "Capital Inflows and Property Prices: Ethnicity, Education, and Spillovers," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 57(8), pages 3145-3177, December.
    14. Yin, Xiao-Cui & Li, Xin & Wang, Min-Hui & Qin, Meng & Shao, Xue-Feng, 2021. "Do economic policy uncertainty and its components predict China's housing returns?," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    15. Song, Zheng (Michael) & Xiong, Wei, 2018. "Risks in China's financial system," BOFIT Discussion Papers 1/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    16. 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.
    17. Jian Yang & Meng Tong & Ziliang Yu, 2023. "Can volume be more informative than prices? Evidence from Chinese housing markets," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 633-672, August.
    18. Lina Meng & Xiao Xiao & Yinggang Zhou, 2023. "Housing Boom and Household Migration Decision: New Evidence from China," The Journal of Real Estate Finance and Economics, Springer, vol. 67(3), pages 453-479, October.
    19. Yang, Jian & Tong, Meng & Yu, Ziliang, 2021. "Housing market spillovers through the lens of transaction volume: A new spillover index approach," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 351-378.
    20. Painter, Gary & Yang, Xi & Zhong, Ninghua, 2022. "Housing Wealth as Precautionary Saving: Evidence from Urban China," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 57(2), pages 761-789, March.
    21. John Cotter & Stuart Gabriel & Richard Roll, 2015. "Can Housing Risk Be Diversified? A Cautionary Tale from the Housing Boom and Bust," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 913-936.
    22. Hurn, Stan & Shi, Shuping & Wang, Ben, 2022. "Housing networks and driving forces," Journal of Banking & Finance, Elsevier, vol. 134(C).
    23. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
    24. Jian Yang & Yinggang Zhou, 2013. "Credit Risk Spillovers Among Financial Institutions Around the Global Credit Crisis: Firm-Level Evidence," Management Science, INFORMS, vol. 59(10), pages 2343-2359, October.
    25. Honghai Yu & Wencong Sun & Xiangting Ye & Libing Fang, 2019. "Measuring the increasing connectedness of Chinese assets with global assets: using a variance decompositions method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1261-1290, March.
    26. Bostanci, Gorkem & Yilmaz, Kamil, 2020. "How connected is the global sovereign credit risk network?," Journal of Banking & Finance, Elsevier, vol. 113(C).
    27. Zheng (Michael) Song & Wei Xiong, 2018. "Risks in China's Financial System," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 261-286, November.
    28. 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.
    29. Chang Liu & Wei Xiong, 2018. "China's Real Estate Market," NBER Working Papers 25297, National Bureau of Economic Research, Inc.
    30. Yinglu Deng & Li Liao & Jiaheng Yu & Yu Zhang, 2022. "Capital Spillover, House Prices, and Consumer Spending: Quasi-Experimental Evidence from House Purchase Restrictions," The Review of Financial Studies, Society for Financial Studies, vol. 35(6), pages 3060-3099.
    31. Madsen, Jakob B., 2012. "A behavioral model of house prices," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 21-38.
    32. Jian Yang & Zheng Li & Hong Miao, 2021. "Volatility spillovers in commodity futures markets: A network approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(12), pages 1959-1987, December.
    33. Geoffrey M. Ngene & Jinghua Wang, 2024. "Transitory and permanent shock transmissions between real estate investment trusts and other assets: Evidence from time‐frequency decomposition and machine learning," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 539-573, March.
    34. Bai, ChongEn & Li, Qi & Ouyang, Min, 2014. "Property taxes and home prices: A tale of two cities," Journal of Econometrics, Elsevier, vol. 180(1), pages 1-15.
    35. Pan, Xuefeng & Wu, Weixing, 2021. "Housing returns, precautionary savings and consumption: Micro evidence from China," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 39-55.
    36. Michail Karoglou & Bruce Morley & Dennis Thomas, 2013. "Risk and Structural Instability in US House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 46(3), pages 424-436, April.
    37. Rots, Eyno, 2017. "Imperfect information and the house price in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 215-231.
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