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Unraveling the Interplay of Knowledge and Innovation in the Global Financial System: A Vine Copula Analysis of Sino-US Financial Risk Contagion

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Abstract

In the dynamic realm of global finance, understanding the intricate relationships among financial markets is imperative. Financial risk contagion, the transmission of market disturbances across various financial instruments, holds profound implications for policymakers, investors, and financial institutions. This paper introduces an innovative approach by bridging the gap between traditional and Copula family models to analyze the interdependencies between various financial markets. We construct a comprehensive model to depict their intricate dependence relationships by utilizing a diverse set of financial instruments, including the Sino-US 10-year bond spread, stock market indices (CSI 300 index and S&P 500 index), and the USD/RMB exchange rate. Our findings reveal a risk-dependent structure between markets, with the Sino-US 10-year bond spread exerting a significant negative influence on stock markets. Complex and diverse risk correlations are observed, with a two-way risk overflow effect between stock markets and other financial markets. Additionally, the paper explores how Sino-US economic cycles and monetary policy disparities intensify risk linkages. This research contributes valuable insights for scholars, practitioners, and policymakers, offering a nuanced understanding of risk interdependencies in a high-dimensional context. It equips stakeholders with more robust risk management and decision-making tools in an increasingly interconnected global financial landscape.

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References

  • Ahmad, W., Mishra, A. V., & Daly, K. J. (2018). Financial connectedness of BRICS and global sovereign bond markets. Emerging Markets Review, 37, 1–16.

    Article  Google Scholar 

  • Akhtaruzzaman, M., Boubaker, S., & Sensoy, A. (2021). Financial contagion during COVID–19 crisis. Finance Research Letters, 38, 101604.

    Article  Google Scholar 

  • Allen, F., & Gale, D. (2000). Financial contagion. Journal of Political Economy, 108, 1.

  • Aloui, R., Aïssa, M. S. B., & Nguyen, D. K. (2011). Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure? Journal of Banking & Finance, 35(1), 130–141.

    Article  Google Scholar 

  • Baele, L. (2005). Volatility spillover effects in European equity markets. Journal of Financial and Quantitative Analysis, 40(2), 373–401.

    Article  Google Scholar 

  • Baig, T., & Goldfajn, I. (1999). Financial market contagion in the Asian crisis. IMF Staff Paper, 46(2), 167–195.

    Article  Google Scholar 

  • Banerjee, A. K. (2021). Futures market and the contagion effect of COVID–19 syndrome. Finance Research Letters, 1, 102018.

    Article  Google Scholar 

  • Bhar, R., & Return, N. B. (2009). Volatility spillovers and dynamic correlation in the BRIC equity markets: An analysis using a bivariate EGARCH framework. Global Finance Journal, 19(3), 203–218.

    Article  Google Scholar 

  • Cao, G., & Zhang, M. (2015). Extreme values in the Chinese and American stock markets based on detrended fluctuation analysis. Physica a: Statistical Mechanics and Its Applications, 435, 25–35.

    Article  Google Scholar 

  • Cerchiello, P., & Giudici, P. (2016). Big data analysis for financial risk management. Journal of Big Data, 3, 18.

    Article  Google Scholar 

  • Changqing, L., Chi, X., Cong, Yu., et al. (2015). Measuring financial market risk contagion using dynamic MRS-Copula models: The case of Chinese and other international stock markets. Economic Modelling, 51, 657–671.

    Article  Google Scholar 

  • Chollete, L., Heinen, A., & Valdesogo, A. (2009). Modeling International Financial Returns with a Multivariate Regime-switching Copula. Journal of Financial Econometrics, 7(4), 437–480.

    Article  Google Scholar 

  • Connolly, R. A., & Wang, F. A. (2003). International equity market comovements: Economic fundamentals or contagion. Pacific-Basin Finance Journal, 11(1), 23–43.

    Article  Google Scholar 

  • Corbet, S., Larkin, C., & Lucey, B. (2020). The contagion effects of the COVID–19 pandemic: evidence from gold and cryptocurrencies. Finance Research Letters, 35, 101554.

    Article  Google Scholar 

  • Costinot, A., Roncalli, T., & Teiletche, J. (2000). Revisiting the dependence between financial markets with copulas. SSRN Electronic Journal, Issue, 11, 238–251.

    Google Scholar 

  • Dimitriou, D., Kenourgios, D., & Simos, T. (2013). Global financial crisis and emerging stock market contagion: A multivariate FIAPARCH–DCC approach. International Review of Financial Analysis, 30, 46–56.

    Article  Google Scholar 

  • Dissmann, J., Brechmann, E. C., Czado, C., et al. (2013). Selecting and estimating regular vine copula and application to financial returns. Computational Statistics and Data Analysis, 59(1), 52–69.

    Article  Google Scholar 

  • Dungey, M., & Gajurel, D. (2015). Contagion and banking crisis–International evidence for 2007–2009. Journal of Banking & Finance, 60, 271–283.

    Article  Google Scholar 

  • Forbes, K., & Rigobon, R. (2002). No Contagion, only interdependence: Measuring stock market co movements. The Journal of Finance, 57(5), 2223–2261.

    Article  Google Scholar 

  • Ge, X., & Lin, A. (2021). Multiscale multifractal detrended partial cross-correlation analysis of Chinese and American stock markets. Chaos, Solitons & Fractals, 145, 110731.

    Article  Google Scholar 

  • Giordano, R., Pericoli, M., & Tommasino, P. (2013). Pure or wake-up-call contagion? Another look at the EMU sovereign debt crisis. International Finance, 16(2), 131–160.

    Article  Google Scholar 

  • Gómez-Puig, M., & Sosvilla-Rivero, S. (2016). Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion. Economic Modelling, 56, 133–147.

    Article  Google Scholar 

  • Guo, Y., Li, P., & Li, A. (2021). Tail risk contagion between international fifinancial markets during COVID–19 pandemic. International Review of Financial Analysis, 73, 101649.

    Article  Google Scholar 

  • Hotta, L., Lucas, E., & Palaro, H. (2006). Estimation of VaR using copula and extreme value theory. Multinational Finance Journal, 12, 205–218.

  • Huang, Q.-A., Zhao, J.-C., & Xiao-Qun, Wu. (2022). Financial risk propagation between Chinese and American stock markets based on multilayer networks. Physica a: Statistical Mechanics and Its Applications, 586, 126445.

    Article  Google Scholar 

  • Jayasuriya, S. A. (2011). Stock market correlations between China and its emerging market neighbors. Emerging Markets Review, 12(4), 418–431.

    Article  Google Scholar 

  • Jiang, C., Li, Y., Qifa, Xu., et al. (2021). Measuring risk spillovers from multiple developed stock markets to China: A vine-copula-GARCH-MIDAS mode. International Review of Economics & Finance, 75, 386–398.

    Article  Google Scholar 

  • Kenourgios, D., & Dimitriou, D. (2015). Contagion of the Global Financial Crisis and the real economy: A regional analysis. Economic Modelling, 44, 283–293.

    Article  Google Scholar 

  • Liow, K. H. (2015). Volatility spillover dynamics and relationship across G7 financial markets. The North American Journal of Economics and Finance, 33, 328–365.

    Article  Google Scholar 

  • Liu, T. Y., & Lee, C. C. (2022). Exchange rate fluctuations and interest rate policy. International Journal of Finance & Economics, 27(3), 3531–3549.

    Article  Google Scholar 

  • Mensi, W., Hammoudeh, S., Nguyen, D. K., et al. (2016). Global financial crisis and spillover effects among the US and BRICS stock markets. International Review of Economics & Finance, 42, 257–276.

    Article  Google Scholar 

  • Pericoli, M., & Sbracia, M. (2003). A primer on financial contagion. Journal of Economic Surveys, 17(4), 571–608.

  • Rangvid, J. (2001). Increasing convergence among European stock markets?: A recursive common stochastic trends analysis. Economics Letters, 71(3), 383–389.

    Article  Google Scholar 

  • Shaikh, E., Mishra, V., Ahmed, F., Krishnan, D., & Dagar, V. (2021). Exchange rate, Stock Price and Trade Volume in US-China Trade War during Covid-19: An Empirical Study. Studies ofApplied Economics, 39(8), 1–25.

    Google Scholar 

  • Silva, W., Kimura, H., & Sobreiro, V. A. (2017). An analysis of the literature on systemic financial risk: A survey. Journal of Financial Stability, 28, 91–114.

    Article  Google Scholar 

  • Stove, B., Tjostheim, D., & Hufthammer, K. O. (2014). Using local Gaussian correlation in a nonlinear re -examination of financial contagion. Journal of Empirical Finance, 25(1), 62–82.

    Article  Google Scholar 

  • Tillmann, P., Kim, G. Y., & Park, H. (2019). The spillover effects of US monetary policy on emerging market economies. International Journal of Finance & Economics, 24(3), 1313–1332.

    Article  Google Scholar 

  • Tjostheim, D., & Hufthammer, K. O. (2013). Local Gaussian correlation: A new measure of dependence. Journal of Econometrics, 172(1), 33–48.

    Article  Google Scholar 

  • Wang, Z., Yang, J., & Bessler, D. A. (2003). Financial crisis and African stock market integration. Applied Economics Letters, 10(9), 527–533.

    Article  Google Scholar 

  • Yang, C., & Lau WY. (2023). Analysis of the impact of the trade war between China and America on the RMB exchange rate under the R-vine copula model from the perspective of the global value chain. Electron Commer Res. https://doi.org/10.1007/s10660-023-09680-x

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Correspondence to Yan Zhou.

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He, H., Cai, S. & Zhou, Y. Unraveling the Interplay of Knowledge and Innovation in the Global Financial System: A Vine Copula Analysis of Sino-US Financial Risk Contagion. J Knowl Econ (2024). https://doi.org/10.1007/s13132-024-01869-1

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