[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/wly/ijfiec/v26y2021i4p5472-5484.html
   My bibliography  Save this article

Research on external financial risk measurement of China real estate

Author

Listed:
  • Yuexiang Jiang
  • Luyuan Zheng
  • Jiazhen Wang
Abstract
This study applies the method proposed by Diebold and Yilmaz to construct a spillover effect index with which we compare the bilateral information spillover effect and time‐varying characteristics of China's real estate markets to those of representative international financial markets from July 2005 to March 2018 to measure the financial risks in China's real estate markets. The empirical results show the following. (a) There is a significant information spillover effect between China's real estate markets and related stock markets, and China's real estate is in a net information receiving position. (b) After 2016, China's real estate financial risks entered a downward adjustment cycle, and financial risks have gradually declined. These results suggest that Chinese real estate markets' “de‐inventory” has achieved remarkable results and that real estate financial risks have been significantly reduced. However, due to China's limited real estate financial investment channels, the nation's real estate markets should still be cautiously controlled and regulated to respond to potential real estate financial risk.

Suggested Citation

  • Yuexiang Jiang & Luyuan Zheng & Jiazhen Wang, 2021. "Research on external financial risk measurement of China real estate," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5472-5484, October.
  • Handle: RePEc:wly:ijfiec:v:26:y:2021:i:4:p:5472-5484
    DOI: 10.1002/ijfe.2075
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/ijfe.2075
    Download Restriction: no

    File URL: https://libkey.io/10.1002/ijfe.2075?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ing-Haw Cheng & Wei Xiong, 2014. "Financialization of Commodity Markets," Annual Review of Financial Economics, Annual Reviews, vol. 6(1), pages 419-441, December.
    2. 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.
    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. 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.
    5. Nafeesa Yunus, 2012. "Modeling Relationships among Securitized Property Markets, Stock Markets and Macroeconomic Variables," Journal of Real Estate Research, American Real Estate Society, vol. 34(2), pages 127-156.
    6. Hui, Eddie C.M. & Chen, Jia, 2012. "Investigating the change of causality in emerging property markets during the financial tsunami," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3951-3962.
    7. Chan, Kam Fong & Treepongkaruna, Sirimon & Brooks, Robert & Gray, Stephen, 2011. "Asset market linkages: Evidence from financial, commodity and real estate assets," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1415-1426, June.
    8. Hui, Eddie Chi-man & Chan, Ka Kwan Kevin, 2014. "The global financial crisis: Is there any contagion between real estate and equity markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 216-225.
    9. Silvennoinen, Annastiina & Thorp, Susan, 2013. "Financialization, crisis and commodity correlation dynamics," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 42-65.
    10. Greenwood-Nimmo, Matthew & Nguyen, Viet Hoang & Rafferty, Barry, 2016. "Risk and return spillovers among the G10 currencies," Journal of Financial Markets, Elsevier, vol. 31(C), pages 43-62.
    11. 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.
    12. Fengyun Liu & Deqiang Liu & Reza Malekian & Zhixiong Li & Deqing Wang, 2017. "A measurement model for real estate bubble size based on the panel data analysis: An empirical case study," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-26, March.
    13. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    14. 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.
    15. repec:iae:iaewps:wp2016n4 is not listed on IDEAS
    16. Xiaojing Zhang & Tao Sun, 2006. "China's Current Real Estate Cycle and Potential Financial Risks," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 14(4), pages 57-74, August.
    17. Eddie C.M. Hui & Ka Kwan Kevin Chan, 2013. "The European sovereign debt crisis: contagion across European real estate markets," Journal of Property Research, Taylor & Francis Journals, vol. 30(2), pages 87-102, June.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Restrepo, Natalia & Uribe, Jorge M. & Manotas, Diego, 2018. "Financial risk network architecture of energy firms," Applied Energy, Elsevier, vol. 215(C), pages 630-642.
    2. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.
    3. Amar, Amine Ben & Goutte, Stéphane & Isleimeyyeh, Mohammad & Benkraiem, Ramzi, 2022. "Commodity markets dynamics: What do cross-commodities over different nearest-to-maturities tell us?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Grosche, Stephanie & Heckelei, Thomas, 2014. "Directional Volatility Spillovers between Agricultural, Crude Oil, Real Estate and other Financial Markets," Discussion Papers 166079, University of Bonn, Institute for Food and Resource Economics.
    5. Zhang, Dayong, 2017. "Oil shocks and stock markets revisited: Measuring connectedness from a global perspective," Energy Economics, Elsevier, vol. 62(C), pages 323-333.
    6. Huifu Nong, 2024. "Connectedness and risk transmission of China’s stock and currency markets with global commodities," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-24, February.
    7. Hachicha, Néjib & Ben Amar, Amine & Ben Slimane, Ikrame & Bellalah, Makram & Prigent, Jean-Luc, 2022. "Dynamic connectedness and optimal hedging strategy among commodities and financial indices," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2017. "Asymmetric volatility connectedness on the forex market," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 39-56.
    9. Ben Amar, Amine & Goutte, Stéphane & Isleimeyyeh, Mohammad, 2022. "Asymmetric cyclical connectedness on the commodity markets: Further insights from bull and bear markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 386-400.
    10. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Hoon Kang, Sang, 2017. "Time-varying volatility spillovers between stock and precious metal markets with portfolio implications," Resources Policy, Elsevier, vol. 53(C), pages 88-102.
    11. Duc Huynh, Toan Luu & Burggraf, Tobias & Nasir, Muhammad Ali, 2020. "Financialisation of natural resources & instability caused by risk transfer in commodity markets," Resources Policy, Elsevier, vol. 66(C).
    12. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    13. Caporin, Massimiliano & Naeem, Muhammad Abubakr & Arif, Muhammad & Hasan, Mudassar & Vo, Xuan Vinh & Hussain Shahzad, Syed Jawad, 2021. "Asymmetric and time-frequency spillovers among commodities using high-frequency data," Resources Policy, Elsevier, vol. 70(C).
    14. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets," Energy Economics, Elsevier, vol. 98(C).
    15. Abakah, Emmanuel Joel Aikins & Brahim, Mariem & Carlotti, Jean-Etienne & Tiwari, Aviral Kumar & Mensi, Walid, 2024. "Extreme downside risk connectedness and portfolio hedging among the G10 currencies," International Economics, Elsevier, vol. 178(C).
    16. Nong, Huifu & Yu, Ziliang & Li, Yang, 2024. "Financial shock transmission in China's banking and housing sectors: A network analysis," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 701-723.
    17. Wei, Yu & Zhang, Jiahao & Bai, Lan & Wang, Yizhi, 2023. "Connectedness among El Niño-Southern Oscillation, carbon emission allowance, crude oil and renewable energy stock markets: Time- and frequency-domain evidence based on TVP-VAR model," Renewable Energy, Elsevier, vol. 202(C), pages 289-309.
    18. Antonakakis, Nikolaos & Floros, Christos, 2016. "Dynamic interdependencies among the housing market, stock market, policy uncertainty and the macroeconomy in the United Kingdom," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 111-122.
    19. Chuliá, Helena & Fernández, Julián & Uribe, Jorge M., 2018. "Currency downside risk, liquidity, and financial stability," Journal of International Money and Finance, Elsevier, vol. 89(C), pages 83-102.
    20. Sofiane Aboura, 2022. "A note on the Bitcoin and Fed Funds rate," Empirical Economics, Springer, vol. 63(5), pages 2577-2603, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:ijfiec:v:26:y:2021:i:4:p:5472-5484. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1076-9307/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.