Skip to main content

Interdependence, Vulnerability and Contagion in Financial and Economic Networks

  • Chapter
  • First Online:
New Perspectives and Challenges in Econophysics and Sociophysics

Part of the book series: New Economic Windows ((NEW))

Abstract

Financial and economic networks are neither static nor independent of one another, but are rather quite interconnected with a high level of dependence and mutual influence. In light of global economic convergence, countries depend on one another through trade relations, foreign direct investments, flow of funds in international capital markets, bank borrowing and lending operations, or foreign exchange trading. As economic entities and financial markets become increasingly intertwined, a shock in a financial network can provoke significant cascading failures throughout the global economic system. Here we attempt to understand potential sources of future shocks and whether bubbles and systemic risk build-up in financial networks can be anticipated. We review approaches to study global financial markets and bank networks to uncover system characteristics and relationships that might increase the vulnerability of economic networks. The efficiency of regulatory responses motivated by crisis and the proper level of regulation are extremely important for a sound global economic system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 109.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Piketty, T.: Why Save the Bankers?: And Other Essays on Our Economic and Political Crisis. Houghton Mifflin Harcourt, Boston (2016)

    Google Scholar 

  2. Buldyrev, S.V., Shere, N.W., Cwilich, G.A.: Interdependent networks with identical degrees of mutually dependent nodes. Phys. Rev. E 83(1), 016112 (2011). https://doi.org/10.1103/PhysRevE.83.016112

  3. Gao, J., Buldyrev, S.V., Stanley, H.E., Havlin, S.: Networks formed from interdependent networks. Nat. Phys. 8(1), 40–48 (2011). https://doi.org/10.1038/nphys2180

  4. Bank for international settlements: triennial central bank survey of foreign exchange turnover in 2013 - preliminary results released by the BIS (2013). http://www.bis.org/press/p130905.htm(accessedon10April2016)

  5. WTO: World Trade Statistical Review (Bernan Distribution / World Trade Organization, 2017), p. 109 (2017)

    Google Scholar 

  6. Federal reserve bank of St. Louis: FRED, gross domestic product by industry. https://fred.stlouisfed.org/release/tables?rid=331&eid=211.Cited29April2018

  7. Lowenstein, R.: When Genius Failed: The Rise and Fall of Long-Term Capital Management. Random House, New York (2000)

    Google Scholar 

  8. Sandoval Jr., L., Franca, I.D.: Correlation of financial markets in times of crisis. Physica A 391(1–2), 187–208 (2012). https://doi.org/10.1016/j.physa.2011.07.023

  9. Silvennoinen, A., Thorp, S.: Financialization, crisis and commodity correlation dynamics. J. Int. Financ. Mark. Inst. Money 24, 45–65 (2013). https://doi.org/10.1016/j.intfin.2012.11.007

  10. Vodenska, I., Becker, A.P., Zhou, D., Kenett, D.Y., Stanley, H.E., Havlin, S.: Community analysis of global financial markets. Risks 4(2), 13 (2016). https://doi.org/10.3390/risks4020013

  11. Tumminello, M., Aste, T., Di Matteo, T., Mantegna, R.N.: A tool for filtering information in complex systems. Proc. Natl. Acad. Sci. 102(30), 10421–10426 (2005). https://doi.org/10.1073/pnas.0500298102

  12. Laloux, L., Cizeau, P., Bouchaud, J.P., Potters, M.: Noise dressing of financial correlation matrices. Phys. Rev. Lett. 83(7), 1467 (1999)

    Google Scholar 

  13. Plerou, V., Gopikrishnan, P., Rosenow, B., Amaral, L.A.N., Guhr, T., Stanley, H.E.: Random matrix approach to cross correlations in financial data. Phys. Rev. E 65(6), 066126 (2002). https://doi.org/10.1103/PhysRevE.65.066126

  14. Vodenska, I., Aoyama, H., Fujiwara, Y., Iyetomi, H., Arai, Y.: Interdependencies and causalities in coupled financial networks. PLOS ONE (2016). https://doi.org/10.1371/journal.pone.0150994

  15. Sachs, J., Tornell, A., Velasco, A.: Financial crises in emerging markets: the lessons from 1995. NBER working Paper No. 5576 (1996). https://doi.org/10.3386/w5576

  16. Wollschläger, M., Becker, A.P., Vodenska, I., Stanley, H.E., Schäfer, R.: Economic and political effects on currency clustering dynamics. Quantitative Finance (under review) (2018)

    Google Scholar 

  17. Caccioli, F., Shrestha, M., Moore, C., Farmer, J.D.: Stability analysis of financial contagion due to overlapping portfolios. J. Bank. Financ. 46, 233–245 (2014). https://doi.org/10.1016/j.jbankfin.2014.05.021

  18. Sakamoto, Y., Vodenska, I.: Systemic risk and structural changes in a bipartite bank network: a new perspective on the Japanese banking crisis of the 1990s. J. Complex Netw. 5(2), 315–333 (2017)

    Google Scholar 

  19. Eisenberg, L., Noe, T.H.: Systemic risk in financial systems. Manag. Sci. 47(2), 236–249 (2001)

    Google Scholar 

  20. Acemoglu, D., Ozdaglar, A., Tahbaz-Salehi, A.: Systemic risk and stability in financial networks. Am. Econ. Rev. 105(2), 564–608 (2015)

    Google Scholar 

  21. Glasserman, P., Young, H.P.: How likely is contagion in financial networks? J. Bank. Financ. 50, 383–399 (2015)

    Google Scholar 

  22. Huang, Z., Vodenska, I., Havlin, S., Stanley, H.E.: Cascading failures in Bi-partite graphs: model for systemic risk propagation. Sci. Rep. 3, 1219 (2013). https://doi.org/10.1038/srep01219

  23. Roukny, T., Bersini, H., Pirotte, H., Caldarelli, G., Battiston, S.: Default cascades in complex networks: topology and systemic risk. Sci. Rep. 3, 2759 (2013). https://doi.org/10.1038/srep02759

  24. Vodenska, I., Aoyama, H., Becker, A.P., Fujiwara, Y., Iyetomi, H., Lungu, E.: Network approach to understanding the fragility of financial systems. Journal of Financial Stability (under review) (2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander P. Becker .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Vodenska, I., Becker, A.P. (2019). Interdependence, Vulnerability and Contagion in Financial and Economic Networks. In: Abergel, F., Chakrabarti, B., Chakraborti, A., Deo, N., Sharma, K. (eds) New Perspectives and Challenges in Econophysics and Sociophysics. New Economic Windows. Springer, Cham. https://doi.org/10.1007/978-3-030-11364-3_8

Download citation

Publish with us

Policies and ethics