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Financial Risk Measurement and Spatial Spillover Effects Based on an Imported Financial Risk Network: Evidence from Countries along the Belt and Road

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  • Shaowei Chen

    (School of Economics, Xi’an University of Finance and Economics, Xi’an 710100, China)

  • Long Guo

    (School of Economics, Xi’an University of Finance and Economics, Xi’an 710100, China)

  • Weike Zhang

    (School of Public Administration, Sichuan University, Chengdu 610065, China)

Abstract

Using the financial market data of 35 countries along the Belt and Road (B&R), this paper constructs an imported financial risk network based on the conditional expected shortfall (CoES) to measure the systemic financial risk of the countries along the B&R. Furthermore, complex network theory is combined with spatial econometrics to construct a spatial, financial network panel model to measure the spatial spillover effects of imported financial risks and further explore the macroeconomic influences on systemic financial risks. The results show that among the countries along the B&R, the level of systemic financial risk in the European region is higher than that in the Asian region from the imported risk perspective. The spatial spillover effect of financial risk and the spatial spillover effect from the imported risk perspective have time-varying characteristics, with the spatial spillover effect increasing significantly during crisis periods. In addition, indicators of the three dimensions of economic openness, the institutional environment, and the external policy environment all have significant effects on systemic financial risk, but the effects differ across regions and periods.

Suggested Citation

  • Shaowei Chen & Long Guo & Weike Zhang, 2023. "Financial Risk Measurement and Spatial Spillover Effects Based on an Imported Financial Risk Network: Evidence from Countries along the Belt and Road," Mathematics, MDPI, vol. 11(6), pages 1-25, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1349-:d:1093476
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    as
    1. Ordoñez-Callamand, Daniel & Gomez-Gonzalez, Jose Eduardo & Melo-Velandia, Luis Fernando, 2017. "Sovereign default risk in OECD countries: Do global factors matter?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 629-639.
    2. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    3. Tiwari, Aviral Kumar & Trabelsi, Nader & Alqahtani, Faisal & Raheem, Ibrahim D., 2020. "Systemic risk spillovers between crude oil and stock index returns of G7 economies: Conditional value-at-risk and marginal expected shortfall approaches," Energy Economics, Elsevier, vol. 86(C).
    4. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    5. Santana-Gallego, Maria & Pérez-Rodríguez, Jorge V., 2019. "International trade, exchange rate regimes, and financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 85-95.
    6. Bonaccolto, Giovanni & Caporin, Massimiliano & Paterlini, Sandra, 2019. "Decomposing and backtesting a flexible specification for CoVaR," Journal of Banking & Finance, Elsevier, vol. 108(C).
    7. Idier, Julien & Lamé, Gildas & Mésonnier, Jean-Stéphane, 2014. "How useful is the Marginal Expected Shortfall for the measurement of systemic exposure? A practical assessment," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 134-146.
    8. Naeem, Muhammad Abubakr & Pham, Linh & Senthilkumar, Arunachalam & Karim, Sitara, 2022. "Oil shocks and BRIC markets: Evidence from extreme quantile approach," Energy Economics, Elsevier, vol. 108(C).
    9. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    10. Ma, Xinxin & Zong, Xiangyu & Chen, Ximing, 2022. "Economic fitness and economy growth potentiality: Evidence from BRICS and OECD countries," Finance Research Letters, Elsevier, vol. 50(C).
    11. Zhang, Weiping & Zhuang, Xintian & Lu, Yang, 2020. "Spatial spillover effects and risk contagion around G20 stock markets based on volatility network," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    12. Nivorozhkin, Eugene & Chondrogiannis, Ilias, 2022. "Shifting balances of systemic risk in the Chinese banking sector: Determinants and trends," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    13. Liu, Bing-Yue & Fan, Ying & Ji, Qiang & Hussain, Nazim, 2022. "High-dimensional CoVaR network connectedness for measuring conditional financial contagion and risk spillovers from oil markets to the G20 stock system," Energy Economics, Elsevier, vol. 105(C).
    14. Ji, Qiang & Liu, Bing-Yue & Cunado, Juncal & Gupta, Rangan, 2020. "Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching: Evidence from over a century of data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    15. Qin, Xiao & Zhou, Chen, 2021. "Systemic risk allocation using the asymptotic marginal expected shortfall," Journal of Banking & Finance, Elsevier, vol. 126(C).
    16. Zhang, Weiping & Zhuang, Xintian & Li, Yanshuang, 2019. "Dynamic evolution process of financial impact path under the multidimensional spatial effect based on G20 financial network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    17. Cohen-Cole, Ethan & Kirilenko, Andrei & Patacchini, Eleonora, 2014. "Trading networks and liquidity provision," Journal of Financial Economics, Elsevier, vol. 113(2), pages 235-251.
    18. Kim, Hakkon & Batten, Jonathan A. & Ryu, Doojin, 2020. "Financial crisis, bank diversification, and financial stability: OECD countries," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 94-104.
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