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Bad news travels fast: Network analysis of the Chinese housing market connectivity

Author

Listed:
  • Xu, Xiaoyue
  • Mi, Anran
  • Li, Xiuting
  • Li, Xuerong
  • Dong, Jichang

Abstract

Starting with the housing markets of large and medium-sized cities in China, this paper constructs housing market networks with the data of both the price index and the trading volume, and finds the overall decreasing trend of the connectivity of the networks. The analysis of the network characteristics reflected by the indices established in this paper reveals the extreme high level of global network indicators in the first quarter of 2015 and the first quarter of 2020, demonstrating the phenomenon of “bad news traveling fast”, which can be explained from the perspective of information dissemination and herding behavior. Further empirical analysis shows the negative impact on housing market connectivity from both macroeconomic conditions and the frequency of stock market transactions. Based on the findings, this paper makes policy recommendations for preventing systemic risk in the housing market from the perspective of information dissemination and macroeconomics.

Suggested Citation

  • Xu, Xiaoyue & Mi, Anran & Li, Xiuting & Li, Xuerong & Dong, Jichang, 2024. "Bad news travels fast: Network analysis of the Chinese housing market connectivity," China Economic Review, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:chieco:v:84:y:2024:i:c:s1043951x24000208
    DOI: 10.1016/j.chieco.2024.102131
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    References listed on IDEAS

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    1. S. Cook & C. Thomas, 2003. "An alternative approach to examining the ripple effect in UK house prices," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 849-851.
    2. Michael Seiler & Mark Lane & David Harrison, 2014. "Mimetic Herding Behavior and the Decision to Strategically Default," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 621-653, November.
    3. Pais, Amelia & Stork, Philip A., 2011. "Contagion risk in the Australian banking and property sectors," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 681-697, March.
    4. Kar‐Yiu Wong, 2001. "Housing Market Bubbles and the Currency Crisis: The Case of Thailand," The Japanese Economic Review, Japanese Economic Association, vol. 52(4), pages 382-404, December.
    5. Holly, Sean & Pesaran, M. Hashem & Yamagata, Takashi, 2010. "A spatio-temporal model of house prices in the USA," Journal of Econometrics, Elsevier, vol. 158(1), pages 160-173, September.
    6. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    7. David Gray, 2012. "District House Price Movements in England and Wales 1997–2007: An Exploratory Spatial Data Analysis Approach," Urban Studies, Urban Studies Journal Limited, vol. 49(7), pages 1411-1434, May.
    8. Pin-te Lin & Franz Fuerst, 2014. "The integration of direct real estate and stock markets in Asia," Applied Economics, Taylor & Francis Journals, vol. 46(12), pages 1323-1334, April.
    9. Bruno Giussani & George Hadjimatheou, 1991. "Modeling Regional House Prices In The United Kingdom," Papers in Regional Science, Wiley Blackwell, vol. 70(2), pages 201-219, April.
    10. Hu, Genhua & Fan, Gang-Zhi, 2022. "Empirical evidence of risk contagion across regional housing markets in China," Economic Modelling, Elsevier, vol. 115(C).
    11. 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.
    12. Hurn, Stan & Shi, Shuping & Wang, Ben, 2022. "Housing networks and driving forces," Journal of Banking & Finance, Elsevier, vol. 134(C).
    13. Geoffrey M. Ngene & Daniel P. Sohn & M. Kabir Hassan, 2017. "Time-Varying and Spatial Herding Behavior in the US Housing Market: Evidence from Direct Housing Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 54(4), pages 482-514, May.
    14. Gang-Jin Wang & Chi Xie & Kaijian He & H. Eugene Stanley, 2017. "Extreme risk spillover network: application to financial institutions," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1417-1433, September.
    15. Rui Yao, 2005. "Optimal Consumption and Portfolio Choices with Risky Housing and Borrowing Constraints," The Review of Financial Studies, Society for Financial Studies, vol. 18(1), pages 197-239.
    16. Teraji, Shinji, 2003. "Herd behavior and the quality of opinions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(6), pages 661-673, December.
    17. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
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