Skip to main content

The Agent Rationality in the Doom Loop of Sovereign Debt: An Agent-Based Model Simulation of Systemic Risk Emergence Process

  • Conference paper
  • First Online:
Multi-Agent Based Simulation XVIII (MABS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10798))

  • 575 Accesses

Abstract

This article explores the financial systemic risk emergence process using an agent-based simulation model representing the investor attitudes towards risk. The multidisciplinary theoretic base is compound of portfolio selection, sovereign debt securities and agent rationality literature. Following the 2007/8 world financial crisis, the sovereign debt crises in the European countries have been attracting researches, showing a “diabolic loop” between sovereign debt and the banking credit risk fragility, which can be followed by systemic crises. Modern financial systems rely heavily, mainly at times of political-economic uncertainty, on availability of safe assets (risk-free assets) to choose asset portfolios and also to use them as collateral in markets operations. In order to analyze the relations between financial rationality and investments on bonds of the Brazilian sovereign debt, this article uses a bottom-up approach, based on agent rationality, and simulates portfolio selection by neutrals, risk-seeking and risk-averse investors, all of them concrete classes of an investor abstract class. The main findings confirm that rational choices of investments are likely to be at the base of the doom loop that involves sovereign debt and institutional investors. The findings have important implications to policy makers regarding systemic risk issues, among others public policies.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Acharya, V., Rajan, R.G.: Sovereign debt, government myopia, and the financial sector. Rev. Financ. Stud. 26(6), 1526–1560 (2013)

    Article  Google Scholar 

  2. Allen, F., Carletti, A.: What is systemic risk? J. Money Credit Bank. 45(1), 121–127 (2013)

    Article  Google Scholar 

  3. Altavilla, C., Pagano, M., Simonelli, S.: Bank exposures and sovereign stress transmission. In: Working Paper no. 11. European Systemic Risk Board (2016)

    Google Scholar 

  4. Black, L., Correa, R., Huang, C., Zhou, H.: The systemic risk of European banks during the financial and sovereign debt crises. J. Bank. Finan. 63, 107–125 (2016)

    Article  Google Scholar 

  5. Boissel, C., Derrien, F., Ors, E., Thesmar, D.: Systemic risk in clearing houses: evidence from the European repo market. In: Working Paper no. 10. European Systemic Risk Board (2016)

    Google Scholar 

  6. Bookstaber, R.: Using agent-based models for analyzing threats to financial stability. In: Working Paper 3. U.S. Department of the Treasury-Office of Financial Research (2012)

    Google Scholar 

  7. Bowdler, C., Esteves, R.P.: Sovereign debt: the assessment. Oxf. Rev. Econ. Policy 29(3), 463–477 (2013)

    Article  Google Scholar 

  8. Brunnermeier, M.K., Garicano, L., Lane, P., Pagano, M., Reis, R., Santos, T., Thesmar, D., Van Nieuwerburgh, S., Vayanos, D.: European Safe Bonds (ESBies). The Euronomics Group (2012). www.euro-nomics.com

  9. Brunnermeier, M.K., Garicano, L., Lane, P., Pagano, M., Reis, R., Santos, T., Thesmar, D., Van Nieuwerburgh, S., Vayanos, D.: The sovereign-bank diabolic loop and ESBies. Am. Econ. Rev. Pap. Proc. 106(5), 508–512 (2016)

    Article  Google Scholar 

  10. Brunnermeier, M.K., Langfield, S., Pagano, M., Reis, R., Van Nieuwerburgh, S., Vayanos, D.: ESBies: safety in the tranches. The Euronomics Group (2016). www.euro-nomics.com

  11. Campbell, J.Y., Lo, W., Mackinlay, A.C.: The Econometrics of Financial Markets. Princeton University Press, Princeton (1997)

    MATH  Google Scholar 

  12. European Central Bank: Recent Advances in Modelling Systemic Risk Using Network Analysis (2010). www.ecb.europa.eu

  13. European Systemic Risk Board: Report on the regulatory treatment of sovereign exposures (2015). www.esrb.europa.eu

  14. Jobson, J.D., Korkie, B.M.: Performance hypothesis testing with the Sharpe and Treynor measures. J. Finan. 36(4), 889–908 (1981)

    Article  Google Scholar 

  15. Laeven, L., Valencia, F.: Systemic banking crises database. IMF Econ. Rev. 61(2), 225–270 (2013)

    Article  Google Scholar 

  16. Lee, S.C., Eid Jr., W.: Teoria e Prática na Construção, Gestão de Riscos e Mensuração de Desempenho de Portfólios. In: Proceedings of the XL EnANPAD, Brasil, 25–28 Sep 2016 (2016)

    Google Scholar 

  17. Lintner, J.: The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets. Rev. Econ. Stat. 47(1), 13–37 (1965)

    Article  Google Scholar 

  18. Markowitz, H.: Portfolio selection. J. Finan. 7(1), 77–91 (1952)

    Google Scholar 

  19. Secretaria do Tesouro Nacional. Relatório Mensal da Dívida Pública Federal – Setembro (2016). www.tesouro.fazenda.gov.br

  20. Sharpe, W.F.: A theory of market equilibrium under conditions of risk. J. Finan. 19(3), 425–442 (1964)

    Google Scholar 

  21. Shoham, Y., Leyton-Brown, K.: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press, Cambridge (2009)

    MATH  Google Scholar 

  22. Terna, P.: Systemic Risk in Artificial Worlds, Using a New Tool in the ABM Perspective. Universidade de Torino (2009)

    Google Scholar 

  23. Thurner, S.: Systemic financial risk: agent based models to understand the leverage cycle on national scales and its consequences. In: Working Paper FGS no. 1. OECD (2011)

    Google Scholar 

  24. Wooldridge, M.: An Introduction to Multiagent Systems. Wiley, Hoboken (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Paulo Sérgio Rosa or Célia G. Ralha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Rosa, P.S., Ralha, C.G., Gartner, I.R. (2018). The Agent Rationality in the Doom Loop of Sovereign Debt: An Agent-Based Model Simulation of Systemic Risk Emergence Process. In: Dimuro, G., Antunes, L. (eds) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science(), vol 10798. Springer, Cham. https://doi.org/10.1007/978-3-319-91587-6_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-91587-6_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91586-9

  • Online ISBN: 978-3-319-91587-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics