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The relationship between the real estate and stock markets of China: evidence from a nonlinear model

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  • Yu-Shao Liu
  • Chi-Wei Su

Abstract

The use of asymmetrical threshold cointegration tests is adopted in this study to investigate whether any significant relationship or asymmetric adjustment exists between the real estate and stock markets of China. Our results indicate the existence of a long run nonlinear relationship between the Shenzhen Composite Index and the Real Estate Price Index. In the short run, the Granger causality test favours the 'wealth effect' hypothesis; conversely, in the long run, the existence of the 'credit price' effect is discernible above a certain threshold value, whilst the 'wealth effect' is apparent below this threshold value, which implies a bidirectional feedback causal relationship. Our empirical results demonstrate that in the long run, the price transmissions between these two markets are nonlinear and asymmetric.

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  • Yu-Shao Liu & Chi-Wei Su, 2010. "The relationship between the real estate and stock markets of China: evidence from a nonlinear model," Applied Financial Economics, Taylor & Francis Journals, vol. 20(22), pages 1741-1749.
    • Handle: RePEc:taf:apfiec:v:20:y:2010:i:22:p:1741-1749
    DOI: 10.1080/09603107.2010.524616
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    Cited by:

    1. MeiChi Huang, 2019. "Risk diversification gains from metropolitan housing assets," Review of Financial Economics, John Wiley & Sons, vol. 37(4), pages 453-481, October.
    2. Pedro Coelho & Luís Gomes & Patrícia Ramos, 2023. "Asymmetric Wealth Effect between US Stock Markets and US Housing Market and European Stock Markets: Evidences from TAR and MTAR," Risks, MDPI, vol. 11(7), pages 1-14, July.
    3. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    4. Mato Njavro & Petra Posedel & Maruška Vizek, 2016. "Regime Switching Behaviour of Real Estate and Equity Prices in Emerging Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(4), pages 396-410.
    5. Lin, Wen-Yuan & Tsai, I-Chun, 2019. "Trader differences in Shanghai’s A-share and B-share markets: Effects on interaction with the Shanghai housing market," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
    6. Huthaifa Alqaralleh & Gazi Salah Uddin & Canepa, Alessandra, 2022. "Time-frequency connectedness across housing markets, stock market and uncertainty: A Wavelet-Time Varying Parameter Vector Autoregression," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202204, University of Turin.
    7. Anita CEH CASNI & Maruska VIZEK, 2014. "Interactions between Real Estate and Equity Markets: an Investigation of Linkages in Developed and Emerging Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(2), pages 100-119, March.
    8. Bahmani-Oskooee, Mohsen & Ghodsi, Seyed Hesam, 2018. "Asymmetric causality between the U.S. housing market and its stock market: Evidence from state level data," The Journal of Economic Asymmetries, Elsevier, vol. 18(C), pages 1-1.
    9. Liow, Kim Hiang & Huang, Yuting & Song, Jeonseop, 2019. "Relationship between the United States housing and stock markets: Some evidence from wavelet analysis," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    10. Maria I. Kyriakou & Athanasios Koulakiotis & Apostolos Kiohos & Vassilios Babalos, 2023. "Fractional Integration and Volatility Transmission Between Real Estate and Stock Markets: Novel Evidence from a FIGARCH-BEKK Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 66(4), pages 939-962, May.
    11. repec:prg:jnlpep:v:preprint:id:560:p:1-15 is not listed on IDEAS
    12. MeiChi Huang, 2020. "A threshold unobserved components model of housing bubbles: timings and effectiveness of monetary policies," Empirical Economics, Springer, vol. 59(2), pages 887-908, August.
    13. Chi-Wei Su & Xiao-Cui Yin & Hsu-Ling Chang & Hai-Gang Zhou, 2019. "Are the stock and real estate markets integrated in China?," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 741-760, December.
    14. Gil-Alana, Luis A. & Yaya, OlaOluwa S, 2018. "How do Stocks in BRICS co-move with REITs?," MPRA Paper 88753, University Library of Munich, Germany.
    15. repec:eee:joecas:v:18:y:2018:i:c:p:- is not listed on IDEAS
    16. Mohsen Bahmani-Oskooee & Seyed Hesam Ghodsi, 2018. "Link between Housing and Stock Markets: Evidence from OECD Using Asymmetry Analysis," International Real Estate Review, Global Social Science Institute, vol. 21(4), pages 447-471.
    17. Huang, MeiChi, 2018. "Time-varying diversification strategies: The roles of state-level housing assets in optimal portfolios," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 145-172.
    18. Liu, Chao & Zheng, Ying & Zhao, Qi & Wang, Chao, 2020. "Financial stability and real estate price fluctuation in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    19. Alqaralleh, Huthaifa & Canepa, Alessandra & Salah Uddin, Gazi, 2023. "Dynamic relations between housing Markets, stock Markets, and uncertainty in global Cities: A Time-Frequency approach," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    20. Gil-Alana, Luis A. & Yaya, OlaOluwa S. & Akinsomi, Omokolade & Coskun, Yener, 2020. "How do stocks in BRICS co-move with real estate stocks?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 93-101.
    21. John Elder & Sriram Villupuram, 2012. "Persistence in the return and volatility of home price indices," Applied Financial Economics, Taylor & Francis Journals, vol. 22(22), pages 1855-1868, November.

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