Research article

The spread of debt risk from real estate companies to banks: Evidence from China

  • Received: 27 April 2023 Revised: 25 June 2023 Accepted: 25 June 2023 Published: 05 July 2023
  • JEL Codes: B41, G33, M21

  • The recent real estate debt crisis in China has dealt a huge blow to the banking sector. To address this challenge, we construct a dynamic game model that considers the interaction of the government, banks and real estate companies. The model is used to analyze the default behavior of real estate companies and loan losses for banks when facing information asymmetry. In addition, we empirically demonstrate the contagion effect of debt risk of real estate companies to banks, using a sample of 119 listed real estate companies and 42 listed banks in China from 2001 to 2020. The results show the following. (1) The debt risk associated with non-state-owned real estate companies is more likely to be contagious to banks compared to state-owned real estate companies. (2) The contagion effect of debt risk of real estate companies to banks is more significant among small and medium-sized banks. (3) The debt risk of non-state-owned real estate companies is most contagious for rural banks, followed by urban banks. Further tests show that the rising debt risk of non-state-owned real estate companies significantly increases the asset risk of small and medium-sized banks. This effect is reinforced through the liquidity channel. This implies that controlling the contagion of debt risk of non-state-owned real estate companies to small and medium-sized banks is an effective way to prevent the occurrence of banking crises.

    Citation: Yonghong Zhong, Junhao Zhong. The spread of debt risk from real estate companies to banks: Evidence from China[J]. Quantitative Finance and Economics, 2023, 7(3): 371-390. doi: 10.3934/QFE.2023018

    Related Papers:

  • The recent real estate debt crisis in China has dealt a huge blow to the banking sector. To address this challenge, we construct a dynamic game model that considers the interaction of the government, banks and real estate companies. The model is used to analyze the default behavior of real estate companies and loan losses for banks when facing information asymmetry. In addition, we empirically demonstrate the contagion effect of debt risk of real estate companies to banks, using a sample of 119 listed real estate companies and 42 listed banks in China from 2001 to 2020. The results show the following. (1) The debt risk associated with non-state-owned real estate companies is more likely to be contagious to banks compared to state-owned real estate companies. (2) The contagion effect of debt risk of real estate companies to banks is more significant among small and medium-sized banks. (3) The debt risk of non-state-owned real estate companies is most contagious for rural banks, followed by urban banks. Further tests show that the rising debt risk of non-state-owned real estate companies significantly increases the asset risk of small and medium-sized banks. This effect is reinforced through the liquidity channel. This implies that controlling the contagion of debt risk of non-state-owned real estate companies to small and medium-sized banks is an effective way to prevent the occurrence of banking crises.



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    [1] Acemoglu D, Ozdaglar A, Tahbaz-Salehi A (2015) Systemic risk and stability in financial networks. Am Econ Rev 105: 564–608. https://doi.org/10.1257/aer.20130456 doi: 10.1257/aer.20130456
    [2] Ang A, Bai J, Zhou H (2018) The great wall of debt: real estate, political risk, and Chinese local government financing cost. Georgetown McDonough School of Business Research Paper, (2603022), 15–02.
    [3] Battistini N, Pagano M, Simonelli S (2014) Systemic risk, sovereign yields and bank exposures in the euro crisis. Econ Policy 29: 203–251. https://doi.org/10.1111/1468-0327.12029 doi: 10.1111/1468-0327.12029
    [4] Beirne J, Fratzscher M (2013) The pricing of sovereign risk and contagion during the European sovereign debt crisis. J Int Money Finance 34: 60–82. https://doi.org/10.1016/j.jimonfin.2012.11.004 doi: 10.1016/j.jimonfin.2012.11.004
    [5] Borisova G, Megginson WL (2011) Does government ownership affect the cost of debt? Evidence from privatization. Rev Financ Stud 24: 2693–2737. https://doi.org/10.1093/rfs/hhq154 doi: 10.1093/rfs/hhq154
    [6] Brunnermeier M, Rother S, Schnabel I (2020) Asset price bubbles and systemic risk. Rev Financ Stud 33: 4272–4317. https://doi.org/10.1093/rfs/hhaa011 doi: 10.1093/rfs/hhaa011
    [7] Chen T, Guestrin C (2016) Xgboost: A scalable tree boosting system, In: Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 785–794. https://doi.org/10.1145/2939672.2939785
    [8] Cuñat V, Cvijanović D, Yuan K (2018) Within-bank spillovers of real estate shocks. Rev Corp Financ Stud 7: 157–193. https://doi.org/10.1093/rcfs/cfy001 doi: 10.1093/rcfs/cfy001
    [9] Davis EP, Zhu H (2011) Bank lending and commercial property cycles: some cross-country evidence. J Inter Money Financ 30: 1–21. https://doi.org/10.1016/j.jimonfin.2010.06.005 doi: 10.1016/j.jimonfin.2010.06.005
    [10] Demirer M, Diebold FX, Liu L, et al. (2018) Estimating global bank network connectedness. J Appl Econometrics 33: 1–15. https://doi.org/10.1002/jae.2585 doi: 10.1002/jae.2585
    [11] Deng Y, Girardin E, Joyeux R (2018) Fundamentals and the volatility of real estate prices in China: A sequential modelling strategy. China Econ Rev 48: 205–222. https://doi.org/10.1016/j.chieco.2016.10.011 doi: 10.1016/j.chieco.2016.10.011
    [12] Deng Y, Zeng Y, Li Z (2019) Real estate prices and systemic banking crises. Econ Model 80: 111–120. https://doi.org/10.1016/j.econmod.2018.09.032 doi: 10.1016/j.econmod.2018.09.032
    [13] Diebold FX, Yilmaz K (2012) Better to give than to receive: Predictive directional measurement of volatility spillovers. Int J Forecast 28: 57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006 doi: 10.1016/j.ijforecast.2011.02.006
    [14] Foglia M, Addi A, Angelini E (2022) The Eurozone banking sector in the time of COVID-19: Measuring volatility connectedness. Glob Financ J 51: 100677. https://doi.org/10.1016/j.gfj.2021.100677 doi: 10.1016/j.gfj.2021.100677
    [15] Glaeser EL (2013) A nation of gamblers: Real estate speculation and American history. Am Econ Rev 103: 1–42. https://doi.org/10.1257/aer.103.3.1 doi: 10.1257/aer.103.3.1
    [16] Glancy D (2021) Housing bust, bank lending & employment: Evidence from multimarket banks. J Bank Financ 127: 106111. https://doi.org/10.1016/j.jbankfin.2021.106111 doi: 10.1016/j.jbankfin.2021.106111
    [17] Han Y, Zhang H, Zhao Y (2021) Structural evolution of real estate industry in China: 2002–2017. Struct Change Econ D 57: 45–56. https://doi.org/10.1016/j.strueco.2021.01.010 doi: 10.1016/j.strueco.2021.01.010
    [18] Jiménez G, Mian A, Peydró JL, et al. (2020) The real effects of the bank lending channel. J Monetary Econ 115: 162–179. https://doi.org/10.1016/j.jmoneco.2019.06.002 doi: 10.1016/j.jmoneco.2019.06.002
    [19] Koetter M, Poghosyan T (2010) Real estate prices and bank stability. J Bank Financ 34: 1129–1138. https://doi.org/10.1016/j.jbankfin.2009.11.010 doi: 10.1016/j.jbankfin.2009.11.010
    [20] Li Z, Zhong J (2020) Impact of economic policy uncertainty shocks on China's financial conditions. Financ Res Lett 35: 101303. https://doi.org/10.1016/j.frl.2019.101303 doi: 10.1016/j.frl.2019.101303
    [21] Lin C, He L, Yang G (2021) Targeted monetary policy and financing constraints of Chinese small businesses. Small Bus Econ 57: 2107–2124. https://doi.org/ 10.1007/s11187-020-00365-5 doi: 10.1007/s11187-020-00365-5
    [22] Liu C, Zheng Y, Zhao Q, et al. (2020) Financial stability and real estate price fluctuation in China. Phys A 540: 122980. https://doi.org/10.1016/j.physa.2019.122980 doi: 10.1016/j.physa.2019.122980
    [23] Liu TY, Chang HL, Su CW, et al. (2016) China's housing bubble burst? Econ Transit 24: 361–389. https://doi.org/10.1111/ecot.12093 doi: 10.1111/ecot.12093
    [24] Pagano MS, Sedunov J (2016) A comprehensive approach to measuring the relation between systemic risk exposure and sovereign debt. J Financ Stab 23: 62–78. https://doi.org/10.1016/j.jfs.2016.02.001 doi: 10.1016/j.jfs.2016.02.001
    [25] Pan JN, Huang JT, Chiang TF (2015) Empirical study of the local government deficit, land finance and real estate markets in China. China Econ Rev 32: 57–67. https://doi.org/10.1016/j.chieco.2014.11.003 doi: 10.1016/j.chieco.2014.11.003
    [26] Van Loon J, Aalbers MB (2017) How real estate became 'just another asset class': The financialization of the investment strategies of Dutch institutional investors. Eur Plann Stud 25: 221–240. https://doi.org/10.1080/09654313.2016.1277693 doi: 10.1080/09654313.2016.1277693
    [27] Walker T, Zhang X, Zhang A, et al. (2021) Fact or fiction: Implicit government guarantees in China's corporate bond market. J Int Money Financ 116: 102414. https://doi.org/10.1016/j.jimonfin.2021.102414 doi: 10.1016/j.jimonfin.2021.102414
    [28] Wang B (2021) The evolving real estate market structure in China, In: Understanding China's Real Estate Markets, Springer, Cham, 9–19. https://doi.org/10.1007/978-3-030-71748-3_2
    [29] Wang R, Hou J (2021) Land finance, land attracting investment and housing price fluctuations in China. Int Rev Econ Financ 72: 690–699. https://doi.org/10.1016/j.iref.2020.12.021 doi: 10.1016/j.iref.2020.12.021
    [30] Zhang H, Li L, Hui ECM, et al. (2016) Comparisons of the relations between housing prices and the macroeconomy in China's first-, second-and third-tier cities. Habitat Int 57: 24–42. https://doi.org/10.1016/j.habitatint.2016.06.008 doi: 10.1016/j.habitatint.2016.06.008
    [31] Zhang X, Wang Z (2020) Marketization vs. market chase: Insights from implicit government guarantees. Int Rev Econ Financ 69: 435–455. https://doi.org/10.1016/j.iref.2020.06.021 doi: 10.1016/j.iref.2020.06.021
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