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Consistent Risk Acceptance Criteria through Networks

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. Ritter, Jay R., 2003. "Behavioral finance," Pacific-Basin Finance Journal, Elsevier, vol. 11(4), pages 429-437, September.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Jean-Charles Rochet & Jean Tirole, 1996. "Interbank lending and systemic risk," Proceedings, Board of Governors of the Federal Reserve System (U.S.), pages 733-765.
    9. 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.
    10. 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.
    11. 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.
    12. Andrew G. Haldane & Robert M. May, 2011. "Systemic risk in banking ecosystems," Nature, Nature, vol. 469(7330), pages 351-355, January.
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    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

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