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Interconnectedness and systemic risk: A comparative study based on systemically important regions

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  • Fang, Lei
  • Cheng, Jiang
  • Su, Fang

Abstract

We apply a novel technique to identify systemically important regions (SIRs) in a global network that shows a reduced degree of concentration and the development of a multi-centered structure. We observe that when a region is more connected to other regions, it is exposed to a higher level of systemic risk. This condition holds even more strongly for non-systemically important regions. However, for SIRs, interconnectedness is not significantly associated with systemic risk. Our empirical evidence suggests that an increase in interconnectedness at the regional level, together with a decrease in interconnectedness for a single pivotal center, may reduce the aggregate systemic risk at the global level.

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  • Fang, Lei & Cheng, Jiang & Su, Fang, 2019. "Interconnectedness and systemic risk: A comparative study based on systemically important regions," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 147-158.
    • Handle: RePEc:eee:pacfin:v:54:y:2019:i:c:p:147-158
    DOI: 10.1016/j.pacfin.2019.02.007
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    1. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2017. "Microeconomic Origins of Macroeconomic Tail Risks," American Economic Review, American Economic Association, vol. 107(1), pages 54-108, January.
    2. Antonio Cabrales & Piero Gottardi & Fernando Vega-Redondo, 2017. "Risk Sharing and Contagion in Networks," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3086-3127.
    3. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    4. Belloumi, Mounir, 2014. "The relationship between trade, FDI and economic growth in Tunisia: An application of the autoregressive distributed lag model," Economic Systems, Elsevier, vol. 38(2), pages 269-287.
    5. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    6. Franklin Allen & Douglas Gale, 2000. "Financial Contagion," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 1-33, February.
    7. Matthew Elliott & Benjamin Golub & Matthew O. Jackson, 2014. "Financial Networks and Contagion," American Economic Review, American Economic Association, vol. 104(10), pages 3115-3153, October.
    8. Berument, Hakan & Froyen, Richard, 2009. "Monetary policy and U.S. long-term interest rates: How close are the linkages?," Journal of Economics and Business, Elsevier, vol. 61(1), pages 34-50.
    9. Armijo, Leslie Elliott & Mühlich, Laurissa & Tirone, Daniel C., 2014. "The systemic financial importance of emerging powers," Journal of Policy Modeling, Elsevier, vol. 36(S1), pages 67-88.
    10. Yun, Jaeho & Moon, Hyejung, 2014. "Measuring systemic risk in the Korean banking sector via dynamic conditional correlation models," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 94-114.
    11. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    12. González Álvarez, M Luz & Barranquero, Antonio Clavero, 2009. "Inequalities in health care utilization in Spain due to double insurance coverage: An Oaxaca-Ransom decomposition," Social Science & Medicine, Elsevier, vol. 69(5), pages 793-801, September.
    13. Xu, Qifa & Chen, Lu & Jiang, Cuixia & Yuan, Jing, 2018. "Measuring systemic risk of the banking industry in China: A DCC-MIDAS-t approach," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 13-31.
    14. Raja Kali & Javier Reyes, 2010. "Financial Contagion On The International Trade Network," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 1072-1101, October.
    15. Philip Stevens, 2002. "The Role of Efficiency as an Explanation of International Income Differences," National Institute of Economic and Social Research (NIESR) Discussion Papers 205, National Institute of Economic and Social Research.
    16. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2015. "Systemic Risk and Stability in Financial Networks," American Economic Review, American Economic Association, vol. 105(2), pages 564-608, February.
    17. Pain, Nigel & Wakelin, Katharine, 1998. "Export Performance and the Role of Foreign Direct Investment," The Manchester School of Economic & Social Studies, University of Manchester, vol. 66(0), pages 62-88, Supplemen.
    18. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    19. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    20. H. Steve Ching & Cheng Hsiao & Shui Ki Wan & Tongsan Wang, 2011. "Economic Benefits Of Globalization: The Impact Of Entry To The Wto On China'S Growth," Pacific Economic Review, Wiley Blackwell, vol. 16(3), pages 285-301, August.
    21. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    22. Freixas, Xavier & Parigi, Bruno M & Rochet, Jean-Charles, 2000. "Systemic Risk, Interbank Relations, and Liquidity Provision by the Central Bank," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(3), pages 611-638, August.
    23. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    24. Glasserman, Paul & Young, H. Peyton, 2015. "How likely is contagion in financial networks?," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 383-399.
    25. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    26. Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016. "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, vol. 119(3), pages 457-471.
    27. Gai, Prasanna & Haldane, Andrew & Kapadia, Sujit, 2011. "Complexity, concentration and contagion," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 453-470.
    28. Markose, Sheri & Giansante, Simone & Shaghaghi, Ali Rais, 2012. "‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 627-646.
    29. Cai, Jian & Eidam, Frederik & Saunders, Anthony & Steffen, Sascha, 2018. "Syndication, interconnectedness, and systemic risk," Journal of Financial Stability, Elsevier, vol. 34(C), pages 105-120.
    30. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2007. "Network models and financial stability," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 2033-2060, June.
    31. Barrell, Ray & Pain, Nigel, 1997. "Foreign Direct Investment, Technological Change, and Economic Growth within Europe," Economic Journal, Royal Economic Society, vol. 107(445), pages 1770-1786, November.
    32. Eboli, Mario, 2013. "A flow network analysis of direct balance-sheet contagion in financial networks," Kiel Working Papers 1862, Kiel Institute for the World Economy (IfW Kiel).
    33. Giulio Bottazzi & Alessandro De Sanctis & Fabio Vanni, 2016. "Non-performing loans, systemic risk and resilience in financial networks," LEM Papers Series 2016/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    34. Nigel Pain & Dawn Holland, 1998. "The Diffusion Of Innovations In Central And Eastern Europe: A Study Of The Determinants And Impact O," National Institute of Economic and Social Research (NIESR) Discussion Papers 137, National Institute of Economic and Social Research.
    35. Garratt, Rodney & Mahadeva, Lavan & Svirydzenka, Katsiaryna, 2011. "Mapping systemic risk in the international banking network," Bank of England working papers 413, Bank of England.
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    2. Reis, Pedro Nogueira & Pinto, António Pedro Soares, 2024. "Unlocking portfolio resilient and persistent risk: A holistic approach to unveiling potential grounds," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    3. Zhang, Weiping & Zhuang, Xintian & Wang, Jian & Lu, Yang, 2020. "Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    4. Foglia, Matteo & Addi, Abdelhamid & Wang, Gang-Jin & Angelini, Eliana, 2022. "Bearish Vs Bullish risk network: A Eurozone financial system analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    5. Fan, Xiaoyun & Wang, Yedong & Wang, Daoping, 2021. "Network connectedness and China's systemic financial risk contagion——An analysis based on big data," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).

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