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The interconnectedness of European Banking and Shadow Banking for sustainable development goals: Insights from a network GVAR model

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  • Konstantakis, Konstantinos N.
  • Michaelides, Panayotis G.
  • Xidonas, Panos
  • Dokas, Ioannis
  • Christopoulos, Apostolos
  • Samitas, Aristeidis

Abstract

The goal of this study is to examine the interdependencies between the banking sector and shadow banking sector in selected European economies through the lens of sustainable development. Using a node-theoretic structure and a network GVAR model, we investigate the relationship between these sectors in a Sustainable Development Goals (SDGs) framework. With this in mind, we examine the interlinkages between the various economies, using a network GVAR model so as to examine the potential dominance of some entities in the system. We conclude that in Europe there are two important financial systems operating simultaneously: one is the European system, where Germany plays a leading role, and the other is the United Kingdom. Analytically, a shock to the banking sector of the European economies will have an impact on the shadow banking sector of the other European economies, whereas shocks to the shadow banking assets of the individual European economies will not have a statistically significant impact on the banking assets of the other European countries. Moreover, shocks in the British banking system significantly impact the European shadow banking assets, while shocks in the shadow banking assets of European member states do not significantly affect the British GDP, suggesting the importance of cross-border collaborations in SDG efforts. By exploring the interdependencies between European banking and shadow banking sectors, this study contributes to the understanding of how financial systems can influence sustainable development. The findings emphasize the significance of fostering innovation across borders and leveraging international interactions to achieve the SDGs.

Suggested Citation

  • Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Xidonas, Panos & Dokas, Ioannis & Christopoulos, Apostolos & Samitas, Aristeidis, 2024. "The interconnectedness of European Banking and Shadow Banking for sustainable development goals: Insights from a network GVAR model," Research in International Business and Finance, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:riibaf:v:69:y:2024:i:c:s0275531924000242
    DOI: 10.1016/j.ribaf.2024.102232
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    1. Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2016. "Bayesian GVAR with k-endogenous dominants & input–output weights: Financial and trade channels in crisis transmission for BRICs," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 1-26.
    2. Fagiolo, Giorgio & Reyes, Javier & Schiavo, Stefano, 2008. "On the topological properties of the world trade web: A weighted network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3868-3873.
    3. Eickmeier, Sandra & Ng, Tim, 2015. "How do US credit supply shocks propagate internationally? A GVAR approach," European Economic Review, Elsevier, vol. 74(C), pages 128-145.
    4. Kyriakos Drivas & Claire Economidou & Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2022. "Technological Leaders, Laggards and Spillovers: A Network GVAR Analysis," Open Economies Review, Springer, vol. 33(2), pages 231-269, April.
    5. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt dynamics in Europe: A Network General Equilibrium GVAR approach," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 175-202.
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. Si, Deng-Kui & Wan, Shen & Li, Xiao-Lin & Kong, Dongmin, 2022. "Economic policy uncertainty and shadow banking: Firm-level evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).
    8. Foglia, Matteo & Angelini, Eliana, 2020. "From me to you: Measuring connectedness between Eurozone financial institutions," Research in International Business and Finance, Elsevier, vol. 54(C).
    9. Konstantinos N. Konstantakis & Panayotis G. Michaelides & Livia Chatzieleftheriou & Arsenios‐Georgios N. Prelorentzos, 2022. "Crisis and the Chinese miracle: A network—GVAR model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 900-921, July.
    10. Claire Economidou & Dimitris Karamanis & Alexandra Kechrinioti & Konstantinos N. Konstantakis & Panayotis G. Michaelides, 2023. "Unpacking the dynamics of military spending in a globalized world: economic impacts with a network GVAR model," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(3), pages 501-527, July.
    11. Markus K. Brunnermeier, 2009. "Deciphering the Liquidity and Credit Crunch 2007-2008," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 77-100, Winter.
    12. Ren, Xiaoyi & Shao, Huan, 2022. "Non-state shareholder governance and shadow banking business: Evidence from Chinese state-owned manufacturing enterprises," Research in International Business and Finance, Elsevier, vol. 60(C).
    13. Si, Deng-Kui & Li, Xiao-Lin, 2022. "Shadow banking business and firm risk-taking: Evidence from China," Research in International Business and Finance, Elsevier, vol. 62(C).
    14. Guillermo Ordoñez, 2018. "Sustainable Shadow Banking," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 33-56, January.
    15. Lu, Yunlin & Guo, Haifeng & Kao, Erin H. & Fung, Hung-Gay, 2015. "Shadow banking and firm financing in China," International Review of Economics & Finance, Elsevier, vol. 36(C), pages 40-53.
    16. Li, Xuelian & Lin, Jyh-Horng, 2016. "Shadow-banking entrusted loan management, deposit insurance premium, and capital regulation," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 98-109.
    17. Palaiodimos, George & Tzavalis, Elias, 2015. "The EMU effects on asset market holdings and the recent financial crisis," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 153-161.
    18. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    19. Klimenko, Nataliya & Moreno-Bromberg, Santiago, 2016. "The shadow costs of repos and bank liability structure," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 1-29.
    20. Bhimjee, Diptes C. & Ramos, Sofia B. & Dias, José G., 2016. "Banking industry performance in the wake of the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 376-387.
    21. Theodore Mariolis & Lefteris Tsoulfidis, 2014. "On Br�Dy'S Conjecture: Theory, Facts And Figures About Instability Of The Us Economy," Economic Systems Research, Taylor & Francis Journals, vol. 26(2), pages 209-223, June.
    22. Bengtsson, Elias, 2013. "Shadow banking and financial stability: European money market funds in the global financial crisis," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 579-594.
    23. Anthony Saunders & Ingo Walter, 2012. "Financial architecture, systemic risk, and universal banking," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 39-59, March.
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