IDEAS home Printed from https://ideas.repec.org/p/mol/ecsdps/esdp15076.html
   My bibliography  Save this paper

Consistent Risk Acceptance Criteria through Networks

Author

Listed:
  • Cerqueti, Roy
  • Lupi, Claudio

Abstract

In decision theory projects are usually evaluated in terms of their riskiness, and often decision under risk is intended as the one-shot-type binary choice of accepting or not accepting the risk. This paper elaborates on the concept of risk acceptance, and aims at developing a theoretical framework based on networks theory. In doing this, the interconnections between the random quantities involved in the decision are taken into account. The conditions to be satisfied in order for the risk-acceptance criterion to be consistent with the axiomatization of standard expected utility theory are also explored. In accordance with existing literature, we obtain that a risk evaluation problem can be meaningful even if it is not consistent with the standard axiomatization of expected utility. Some illustrative examples are also provided.

Suggested Citation

  • Cerqueti, Roy & Lupi, Claudio, 2015. "Consistent Risk Acceptance Criteria through Networks," Economics & Statistics Discussion Papers esdp15076, University of Molise, Department of Economics.
  • Handle: RePEc:mol:ecsdps:esdp15076
    as

    Download full text from publisher

    File URL: http://web.unimol.it/progetti/repec/mol/ecsdps/ESDP15076.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ritter, Jay R., 2003. "Behavioral finance," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 429-437, September.
    2. 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.
    3. Hendon, Ebbe & Jacobsen, Hans JØrgen & Sloth, Birgitte & TranÆs, Torben, 1994. "Expected Utility with Lower Probabilities," Journal of Risk and Uncertainty, Springer, vol. 8(2), pages 197-216, March.
    4. Geiger, Gebhard, 2002. "On the statistical foundations of non-linear utility theory: The case of status quo-dependent preferences," European Journal of Operational Research, Elsevier, vol. 136(2), pages 449-465, January.
    5. Konstantinos Katsikopoulos & Gerd Gigerenzer, 2008. "One-reason decision-making: Modeling violations of expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 37(1), pages 35-56, August.
    6. Abrahamsen, E.B. & Aven, T., 2008. "On the consistency of risk acceptance criteria with normative theories for decision-making," Reliability Engineering and System Safety, Elsevier, vol. 93(12), pages 1906-1910.
    7. Rochet, Jean-Charles & Tirole, Jean, 1996. "Interbank Lending and Systemic Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(4), pages 733-762, November.
    8. Andrew G. Haldane & Robert M. May, 2011. "Systemic risk in banking ecosystems," Nature, Nature, vol. 469(7330), pages 351-355, January.
    9. Loomes, Graham, 1991. "Evidence of a New Violation of the Independence Axiom," Journal of Risk and Uncertainty, Springer, vol. 4(1), pages 91-108, January.
    10. Geiger, Gebhard, 2008. "An axiomatic account of status quo-dependent non-expected utility: Pragmatic constraints on rational choice under risk," Mathematical Social Sciences, Elsevier, vol. 55(2), pages 116-142, March.
    11. Bartram, Sohnke M. & Brown, Gregory W. & Hund, John E., 2007. "Estimating systemic risk in the international financial system," Journal of Financial Economics, Elsevier, vol. 86(3), pages 835-869, December.
    12. Aven, Terje & Vinnem, Jan Erik, 2005. "On the use of risk acceptance criteria in the offshore oil and gas industry," Reliability Engineering and System Safety, Elsevier, vol. 90(1), pages 15-24.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Teteryatnikova, Mariya, 2014. "Systemic risk in banking networks: Advantages of “tiered” banking systems," Journal of Economic Dynamics and Control, Elsevier, vol. 47(C), pages 186-210.
    2. Beteto Wegner, Danilo Lopomo, 2014. "Network Formation and Financial Fragility," Risk and Sustainable Management Group Working Papers 179222, University of Queensland, School of Economics.
    3. Georg, Co-Pierre, 2014. "Contagious herding and endogenous network formation in financial networks," Working Paper Series 1700, European Central Bank.
    4. León, C., 2015. "Financial stability from a network perspective," Other publications TiSEM bb2e4e44-e842-45c6-a946-4, Tilburg University, School of Economics and Management.
    5. repec:zbw:bofrdp:2013_019 is not listed on IDEAS
    6. Brini, Alessio & Tedeschi, Gabriele & Tantari, Daniele, 2023. "Reinforcement learning policy recommendation for interbank network stability," Journal of Financial Stability, Elsevier, vol. 67(C).
    7. Valentina Macchiati & Giuseppe Brandi & Tiziana Di Matteo & Daniela Paolotti & Guido Caldarelli & Giulio Cimini, 2022. "Systemic liquidity contagion in the European interbank market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(2), pages 443-474, April.
    8. Beteto, Danilo Lopomo, 2012. "Government Intervention and Financial Fragility," Risk and Sustainable Management Group Working Papers 156477, University of Queensland, School of Economics.
    9. León, Carlos & Machado, Clara & Sarmiento, Miguel, 2018. "Identifying central bank liquidity super-spreaders in interbank funds networks," Journal of Financial Stability, Elsevier, vol. 35(C), pages 75-92.
    10. Alan Morrison & Michalis Vasios & Mungo Wilson & Filip Zikes, 2017. "Identifying Contagion in a Banking Network," Finance and Economics Discussion Series 2017-082, Board of Governors of the Federal Reserve System (U.S.).
    11. Gündüz, Yalin, 2020. "The market impact of systemic risk capital surcharges," Discussion Papers 09/2020, Deutsche Bundesbank.
    12. Sadamori Kojaku & Giulio Cimini & Guido Caldarelli & Naoki Masuda, 2018. "Structural changes in the interbank market across the financial crisis from multiple core-periphery analysis," Papers 1802.05139, arXiv.org.
    13. Pablo Rovira Kaltwasser & Alessandro Spelta, 2019. "Identifying systemically important financial institutions: a network approach," Computational Management Science, Springer, vol. 16(1), pages 155-185, February.
    14. Toivanen, Mervi, 2013. "Contagion in the interbank network : An epidemiological approach," Research Discussion Papers 19/2013, Bank of Finland.
    15. Ramírez, Carlos, 2020. "Regulating financial networks under uncertainty," ESRB Working Paper Series 107, European Systemic Risk Board.
    16. Carlos Ramírez, 2019. "Regulating Financial Networks Under Uncertainty," Finance and Economics Discussion Series 2019-056, Board of Governors of the Federal Reserve System (U.S.).
    17. Alexander Lipton, 2015. "Modern Monetary Circuit Theory, Stability of Interconnected Banking Network, and Balance Sheet Optimization for Individual Banks," Papers 1510.07608, arXiv.org.
    18. Alexander Lipton, 2016. "Modern Monetary Circuit Theory, Stability Of Interconnected Banking Network, And Balance Sheet Optimization For Individual Banks," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 1-57, September.
    19. Pawe{l} Smaga & Mateusz Wili'nski & Piotr Ochnicki & Piotr Arendarski & Tomasz Gubiec, 2016. "Can banks default overnight? Modeling endogenous contagion on O/N interbank market," Papers 1603.05142, arXiv.org.
    20. Mardi Dungey & Matteo Luciani & David Veredas, 2012. "Ranking Systemically Important Financial Institutions," CAMA Working Papers 2012-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    21. Steinbacher, Matjaz & Steinbacher, Mitja & Steinbacher, Matej, 2013. "Credit Contagion in Financial Markets: A Network-Based Approach," MPRA Paper 49616, University Library of Munich, Germany.

    More about this item

    Keywords

    Risk acceptance; networks; decision theory; expected utility; insurance;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mol:ecsdps:esdp15076. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Claudio Lupi (email available below). General contact details of provider: https://edirc.repec.org/data/dsmolit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.