Forecasting Chinese macroeconomy with volatility connectedness of financial institutions

References

• Acemoglu, D., A. Ozdaglar, and A. Tahbazsalehi. 2015. Systemic risk and stability in financial networks. The American Economic Review 105 (2):564–608. doi:10.1257/aer.20130456.
   PubMed Web of Science ®Google Scholar
• Allen, L., T. G. Bali, and Y. Tang. 2012. Does systemic risk in the financial sector predict future economic downturns? The Review of Financial Studies 25 (10):3000–36. doi:10.1093/rfs/hhs094.
   Web of Science ®Google Scholar
• Amini, H., D. Filipovi, and A. Minca. 2016. Uniqueness of equilibrium in a payment system with liquidation costs. Operations Research Letters 44 (1):1–5. doi:10.1016/j.orl.2015.10.005.
   Web of Science ®Google Scholar
• Bachmann, R., and E. R. Sims. 2012. Confidence and the transmission of government spending shocks. Journal of Monetary Economics 59 (3):235–49. doi:10.1016/j.jmoneco.2012.02.005.
   Web of Science ®Google Scholar
• Barunik, J., and T. Kehlík. 2018. Measuring the frequency dynamics of financial connectedness and systemic risk. Journal of Financial Econometrics 2 (2):271–96. doi:10.1093/jjfinec/nby001.
   Google Scholar
• Billio, M., M. Getmansky, A. W. Lo, and L. Pelizzon. 2012. Econometric measures of connectedness and systemic risk in the finance and insurance sectors. Journal of Financial Economics 104 (3):535–59. doi:10.1016/j.jfineco.2011.12.010.
   Web of Science ®Google Scholar
• Borges, M. R., L. Ulica, and M. Gubareva. 2020. Global financial stability report, responding to the financial crisis and measuring systemic risks Angolan interbank payment system—A network approach. Applied Economics 52 (45):4900–12. doi:10.1080/00036846.2020.1751052.
   Web of Science ®Google Scholar
• Brownlees, C., and R. F. Engle. 2017. SRISK: A conditional capital shortfall measure of systemic risk. The Review of Financial Studies 30 (1):48–79. doi:10.1093/rfs/hhw060.
   Web of Science ®Google Scholar
• Brunetti, C., J. H. Harris, S. Mankad, and G. Michailidis. 2019. Interconnectedness in the interbank market. Journal of Financial Economics 133 (2):520–38. doi:10.1016/j.jfineco.2019.02.006.
   Web of Science ®Google Scholar
• Campbell, J. Y., and S. B. Thompson. 2008. Predicting excess stock returns out of sample: Can anything beat the historical average? The Review of Financial Studies 21 (4):1509–31. doi:10.1093/rfs/hhm055.
   Web of Science ®Google Scholar
• Caporin, M., M. Costola, J. C. Garibal, and B. Maillet. 2022. Systemic risk and severe economic downturns: A targeted and sparse analysis. Journal of Banking & Finance 134:106339. doi:10.1016/j.jbankfin.2021.106339.
   Web of Science ®Google Scholar
• Chen, G., Y. Liu, and Y. Zhang. 2022. Systemic risk measures and macroeconomy forecasting: Based on FQGLS estimation with structural break. Emerging Markets Finance and Trade 58 (2):584–600. doi:10.1080/1540496X.2020.1807323.
   Web of Science ®Google Scholar
• Clark, T. E., and K. D. West. 2007. Approximately normal tests for equal predictive accuracy in nested models. Journal of Econometrics 138 (1):291–311. doi:10.1016/j.jeconom.2006.05.023.
   Web of Science ®Google Scholar
• Corbet, S., Y. G. Hou, Y. Hu, and L. Oxley. 2021. Volatility spillovers during market supply shocks: The case of negative oil prices. Resources Policy 74:102357. doi:10.1016/j.resourpol.2021.102357.
   Web of Science ®Google Scholar
• Demirer, M., F. X. Diebold, L. Liu, and K. Yilmaz. 2018. Estimating global bank network connectedness. Journal of Applied Econometrics 33 (1):1–15. doi:10.1002/jae.2585.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yilmaz. 2009. Measuring financial asset return and volatility spillovers, with application to global equity markets. The Economic Journal 119 (534):158–71. doi:10.1111/j.1468-0297.2008.02208.x.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yilmaz. 2014. On the network topology of variance decompositions: Measuring the connectedness of financial firms. Journal of Econometrics 182 (1):119–34. doi:10.1016/j.jeconom.2014.04.012.
   Web of Science ®Google Scholar
• Diebold, F. X., and K. Yilmaz. 2015. Trans-Atlantic equity volatility connectedness: U.S. and European financial institutions, 2004–2014. Journal of Financial Econometrics 14 (1):81–127.
   Web of Science ®Google Scholar
• Elliott, M., B. Golub, and M. O. Jackson. 2014. Financial networks and contagion. The American Economic Review 104 (10):3115–53. doi:10.1093/rfs/hhq001.
   Web of Science ®Google Scholar
• Fagiolo, G. 2007. Clustering in complex directed networks. Physical Review E 76 (2):026107. doi:10.1103/PhysRevE.76.026107.
   Web of Science ®Google Scholar
• Fang, L. B., H. H. Yu, and W. Xiao. 2018. Forecasting gold futures market volatility using macroeconomic variables in the United States. Economic Modelling 72:249–59. doi:10.1016/j.econmod.2018.02.003.
   Web of Science ®Google Scholar
• Giglio, S., B. Kelly, and S. Pruitt. 2016. Systemic risk and the macroeconomy: An empirical evaluation. Journal of Financial Economics 119 (3):457–71. doi:10.1016/j.jfineco.2016.01.010.
   Web of Science ®Google Scholar
• Glasserman, P., and H. P. Young. 2015. How likely is contagion in financial networks? Journal of Banking & Finance 50:383–99. doi:10.1016/j.jbankfin.2014.02.006.
   Web of Science ®Google Scholar
• Gregoriou, G. N., F. E. Racicot, and R. Théoret. 2021. The response of hedge fund tail risk to macroeconomic shocks: A nonlinear VAR approach. Economic Modelling 94:843–72. doi:10.1016/j.econmod.2020.02.025.
   Web of Science ®Google Scholar
• Gupta, R., and X. Sun. 2020. Forecasting economic policy uncertainty of BRIC countries using Bayesian VARs. Economics Letters 186:108677. doi:10.1016/j.econlet.2019.108677.
   Web of Science ®Google Scholar
• Härdle, W. K., W. Wang, and L. Yu. 2016. TENET: Tail-event driven network risk. Journal of Econometrics 192 (2):499–513. doi:10.1016/j.jeconom.2016.02.013.
   Web of Science ®Google Scholar
• Hautsch, N., J. Schaumburg, and M. Schienle. 2014. Forecasting systemic impact in financial networks. International Journal of Forecasting 30 (3):781–94. doi:10.1016/j.ijforecast.2013.09.004.
   Web of Science ®Google Scholar
• Huang, W. Q., and D. Wang. 2020. Financial network linkages to predict economic output. Finance Research Letters 33:101206. doi:10.1016/j.frl.2019.06.004.
   Web of Science ®Google Scholar
• International Monetary Fund. 2009. Global financial stability report, responding to the financial crisis and measuring systemic risks.
   Google Scholar
• Kashyap, A. K., and J. C. Stein. 2000. What do a million observations on banks say about the transmission of monetary policy? The American Economic Review 90 (3):407–28. doi:10.1257/aer.90.3.407.
   Web of Science ®Google Scholar
• Koop, G., M. Pesaran, and S. Potter. 1996. Impulse response analysis in nonlinear multivariate models. Journal of Econometrics 74 (1):119–47. doi:10.1016/0304-4076(95)01753-4.
   Web of Science ®Google Scholar
• Kwiatkowski, D., P. C. B. Phillips, P. Schmidt, and Y. Shin. 1992. Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics 54 (1–3):159–78. doi:10.1016/0304-4076(92)90104-Y.
   Web of Science ®Google Scholar
• Li, W., U. Hommel, and S. Paterlini. 2018. Network topology and systemic risk: Evidence from the Euro Stoxx market. Finance Research Letters 27:105–12. doi:10.1016/j.frl.2018.02.016.
   Web of Science ®Google Scholar
• Newey, W. K., and K. D. West. 1987. A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55 (3):703–08. doi:10.2307/1913610.
   Web of Science ®Google Scholar
• Ouyang, Z. S., H. X. Li, and F. G. Liu. 2019. Research on the impact of China’s systemic financial risks on the macroeconomy. Statistical Research (In Chinese) (In Chinese) 36 (8):19–31.
   Google Scholar
• Pesaran, H. H., and Y. Shin. 1998. Generalized impulse response analysis in linear multivariate models. Economics Letters 58 (1):17–29. doi:10.1016/S0165-1765(97)00214-0.
   Web of Science ®Google Scholar
• Racicot, F. E., and R. Théoret. 2016. Macroeconomic shocks, forward-looking dynamics, and the behavior of hedge funds. Journal of Banking & Finance 62:41–61. doi:10.1016/j.jbankfin.2015.10.004.
   Web of Science ®Google Scholar
• Racicot, F. E., and R. Théoret. 2018. Multi-Moment risk, hedging strategies, & the business cycle. International Review of Economics and Finance 58:637–75. doi:10.1016/j.iref.2018.07.006.
   Web of Science ®Google Scholar
• Rogers, L. C., and L. A. Veraart. 2013. Failure and rescue in an interbank network. Management Science Science 59 (4):882–98. doi:10.1287/mnsc.1120.1569.
   Web of Science ®Google Scholar
• Smaga, P. 2014. The concept of systemic risk. Systemic Risk Centre Special Paper No 5: 1–26.
   Google Scholar
• Upper, C. 2011. Simulation methods to assess the danger of contagion in interbank markets. Journal of Financial Stability 7 (3):111–25. doi:10.1016/j.jfs.2010.12.001.
   Web of Science ®Google Scholar
• Wang, G. J., Z. Q. Jiang, M. Lin, C. Xie, and H. E. Stanley. 2018. Interconnectedness and systemic risk of China’s financial institutions. Emerging Markets Review 35:1–18. doi:10.1016/j.ememar.2017.12.001.
   Web of Science ®Google Scholar
• Wang, G. J., C. Xie, K. J. He, and H. E. Stanley. 2017. Extreme risk spillover network: Application to financial institutions. Quantitative Finance 17 (9):1417–33. doi:10.1080/14697688.2016.1272762.
   Web of Science ®Google Scholar
• Wang, G. J., C. Xie, L. F. Zhao, and Z. Q. Jiang. 2018. Volatility connectedness in the Chinese banking system: Do state-owned commercial banks contribute more? Journal of International Financial Markets Institutions & Money 57:205–30. doi:10.1016/j.inthn.2018.07.008.
   Web of Science ®Google Scholar
• Wang, G. J., S. Yi, C. Xie, and H. E. Stanley. 2021. Multilayer information spillover networks: Measuring interconnectedness of financial institutions. Quantitative Finance 21 (7):1163–85. doi:10.1080/14697688.2020.1831047.
   Web of Science ®Google Scholar
• Wang, L. Y., D. Q. Zhang, and W. G. Liu. 2010. Asymmetric effects of Chinaʾs nonlinear monetary policy in the open economy. Economic Research Journal (In Chinese) (In Chinese) 45 (9):4–16.
   Google Scholar
• Yang, K., M. H. Kim, and Y. M. Kim. 2019. Financial connectedness revisited: The role of Fama-French risk factors. Applied Economics Letters 26 (10):850–56. doi:10.1080/13504851.2018.1502864.
   Web of Science ®Google Scholar
• Yang, Z. H., Y. Zhou, and X. Cheng. 2019. Systemic risk in global volatility spillover networks: Evidence from option-implied volatility indices. Journal of Futures Markets 40 (3):392–409. doi:10.1002/fut.22078.
   Web of Science ®Google Scholar
• Zhou, B., and K. L. Zhang. 2019. Research on output and inflation effects of fiscal policy different in different cyclical states. Journal of Central University of Finance & Economics (In Chinese) (In Chinese) 2019 (7):3–17. doi:10.19681/j.cnki.jcufe.2019.07.001.
   Google Scholar