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Interconnectedness of systemic risk in the Chinese economy: the Granger causality and CISS indicator approach

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Abstract

In this study, systemic risk in the Chinese economy between 2012 and 2023 has been investigated. The entire dataset is divided into three time windows to help comprehend the dynamics of financial markets. Deploying the tools of graph theory and Granger causality, as well as the composite indicator of systemic stress (CISS) on five financial markets including money market, bond market, equity market, foreign exchange market, and financial intermediaries, the systemic risk propagation has been analyzed among these financial markets. The results reveal that the increase in volatility in the foreign exchange market can be attributed to the rise in volatility and risk in the equity market, bond market, and financial intermediaries. Additionally, the examination of the financial markets shows significant fluctuations in the years 2015 and 2022. Consequently, examining these two periods determined that financial turbulence in the money market was the primary source of systemic risk. Moreover, it can have widespread propagation effects on other financial markets. These findings also emphasized the importance of monitoring and controlling the money market and its interactions with other parts of the financial system to reduce propagation risks.

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References

  • Aikman, D., P. Alessandri, B. Eklund, P. Gai, E. Martin, N. Mora, et al. 2009. Funding liquidity risk in a quantitative model of systemic stability. Bank of England Working paper 372.

  • Balboa, M., G. Lopez-Espinosa, and A. Rubia. 2015. Granger causality and systemic risk. Finance Research Letters 15: 49–58.

    Article  Google Scholar 

  • Bekaert, G., M. Ehrmann, M. Fratzscher, and A. Mehl. 2011. The global crisis and equity market contagion. Working Paper Series, European Central Bank.

  • Bernal, O., J.Y. Gnabo, and G. Guilmin. 2014. Assessing the contribution of banks, insurance and other financial services to systemic risk. Journal of Banking & Finance 47: 270–287.

    Article  Google Scholar 

  • Billio, M., M. Getmansky, A.W. Lo, and L. Pelizzon. 2012. Econometric measures of systemic risk in the finance and insurance sectors. Journal of Financial Economics 104: 535–559.

    Article  Google Scholar 

  • Bondy, J.A., and U.S.R. Murty. 2008. Graph theory. New York: Springer.

    Book  Google Scholar 

  • Castro, C., and S. Ferrari. 2014. Measuring and testing for the systemically important financial institutions. Journal of Empirical Finance 25: 1–14.

    Article  Google Scholar 

  • Chen, X. 2016. Systemic risk, financial security and the financial holding companies of China. In International Conference on Industrial Economics System and Industrial Security Engineering (IEIS) Sydney, Australia, 1–5.

  • Cincinelli, P., E. Pellini, and G. Urga. 2022. Systemic risk in the Chinese financial system: A panel Granger causality analysis. International Review of Financial Analysis 82: 1–23.

    Article  Google Scholar 

  • Civitarese, J. 2016. Volatility and correlation-based systemic risk measures in the US market. Journal of Physica A 459: 55–67.

    Article  Google Scholar 

  • Cortes, F., P. Lindner, S. Malik, and A. Segoviano. 2018. A comprehensive multi-sector tool for analysis of systemic risk and interconnectedness (SyRIN), International Monetary Fund, IMF Working Paper.

  • Derbali, A. 2017. Systemic risk in the Chinese financial system: Measuring and Ranking. The Chinese Economy 50: 34–58.

    Article  Google Scholar 

  • Dong, Y., and Z. Dong. 2023. An innovative approach to analyze financial contagion using causality-based complex network and value at risk. Electronics 12: 1–26.

    Article  Google Scholar 

  • Fang, L., B. Sun, H. Li, and H. Yu. 2018. Systemic risk network of Chinese financial institutions. Emerging Markets Review 35: 190–206.

    Article  Google Scholar 

  • Girardi, G., and T. Ergün. 2013. Systemic risk measurement: Multivariate GARCH estimation of CoVaR. Journal of Banking and Finance 37: 3169–3180.

    Article  Google Scholar 

  • Gong, X.L., X.H. Liu, X. Xiong, and W. Zhang. 2019. Financial systemic risk measurement based on causal network connectedness analysis. International Review of Economics & Finance 64: 290–307.

    Article  Google Scholar 

  • Holló,D., M. Kremer, and M.L. Duca. 2012. CISS: A composite indicator of systemic stress in the financial system. Working Paper Series, European Central Bank 1426.

  • Huang, Q., J.D. Haan, and B. Scholtens. 2019. Analysing systemic risk in the Chinese banking system. Pacific Economic Review 24: 348–372.

    Article  Google Scholar 

  • Lan, C., Z. Huang, and W. Huang. 2020. Systemic risk in China’s financial industry due to the COVID-19 pandemic. Asian Economics Letters 1 (3): 1–5.

    Article  Google Scholar 

  • Lee, M.H., C.W. Hooy, and R. Brooks. 2023. A new measure for idiosyncratic risk based on decomposition method. Journal of Risk and Financial Management 16: 1–8.

    Article  Google Scholar 

  • López-Espinoza, G., A. Moreno, A. Rubia, and L. Valderrama. 2012. Short-term wholesale funding and systemic risk: A global CoVaR approach. Journal of Banking and Finance 36: 3150–3162.

    Article  Google Scholar 

  • Mieg, H.A. 2022. Volatility as a transmitter of systemic risk: Is there a structural risk in finance? Risk Analysis 42: 1952–1964.

    Article  Google Scholar 

  • Moreno, M., and J. Peňa. 2012. Systemic risk measures: The simpler the better. Journal of Banking and Finance 37: 1817–1831.

    Article  Google Scholar 

  • Nivorozhkin, E., and I. Chondrogiannis. 2022. Shifting balances of systemic risk in the Chinese banking sector: Determinants and trends. Journal of International Financial Markets, Institutions and Money 76: 1–45.

    Article  Google Scholar 

  • O’Halloran, S., and T. Groll. 2019. After the crash: Financial crises and regulatory responses. New York: Columbia University Press.

    Book  Google Scholar 

  • Popescu, A., and C. Turcu. 2017. Sovereign debt and systemic risk in the eurozone: A macroeconomic perspective. Economic Modelling 67: 275–284.

    Article  Google Scholar 

  • Renn, O., M. Laubichler, K. Lucas, W. Kröger, J. Schanze, R.W. Scholz, and P.J. Schweizer. 2022. Systemic risks from different perspectives. Risk Analysis 42: 1902–1920.

    Article  Google Scholar 

  • Sioofy Khoojine, A., and H. Dong. 2019. Topological structure of stock market networks during financial turbulence: Non-linear approach. Universal Journal of Accounting and Finance 7: 106–121.

    Article  Google Scholar 

  • Sioofy Khoojine, A., and D. Han. 2019. Network analysis of the Chinese stock market during the turbulence of 2015–2016 using log-returns, volumes and mutual information. Physica A: Statistical Mechanics and its Applications 523: 1091–1109.

    Article  Google Scholar 

  • Song, Z.M., and W. Xiong. 2018. Risks in China’s financial system. Annual Review of Financial Economics 10: 261–286.

    Article  Google Scholar 

  • Wells, E.M., M. Boden, I. Tseytlin, and I. Linkov. 2022. Modeling critical infrastructure resilience under compounding threats: A systemic literature review. Progress in Disaster Science 15: 100244.

    Article  Google Scholar 

  • Xu, Q., L. Chen, C. Jiang, and J. Yuan. 2018. Measuring systemic risk of the banking industry in China: A DCC-MIDAS-t approach. Pacific-Basin Finance Journal 51: 13–31.

    Article  Google Scholar 

  • Zhang, X., H. Zhou, and Ch. Chiang Lee. 2022. Systemic risk of China’s financial industry during the spread of the COVID-19 epidemic and the breakdown of crude oil negotiation. Emerging Markets Finance and Trade 58: 56–69.

    Article  Google Scholar 

  • Zhao, Sh., X. Chen, and J. Zhang. 2019. The systemic risk of China’s stock market during the crashes in 2008 and 2015. Physica A: Statistical Mechanics and Its Applications 520: 161–177.

    Article  Google Scholar 

  • Zhou, H., W. Liu, and L. Wang. 2020. Systemic risk of China’s financial system (2007–2018): A comparison between DCoVaR, MES and SRISK across banks, insurance and securities firms. The Chinese Economy 53: 221–245.

    Article  Google Scholar 

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Correspondence to Omid Farkhondeh Rouz.

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Appendix

Appendix

In this section, we present two key algorithms that are introduced in "Methodology" section for analyzing systemic risk in Chinese financial markets. These algorithms aid in constructing the Granger causality graph and calculating the CISS indicator.

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Farkhondeh Rouz, O., Vafa, H.S., Khoojine, A.S. et al. Interconnectedness of systemic risk in the Chinese economy: the Granger causality and CISS indicator approach. Risk Manag 26, 9 (2024). https://doi.org/10.1057/s41283-024-00142-8

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