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Expected utility maximization with stochastically ordered returns

Author

Listed:
  • Romain Gauchon

    (ISFA - Institut de Science Financière et d'Assurances)

  • Karim Barigou

    (ISFA - Institut de Science Financière et d'Assurances)

Abstract

Expected utility is an influential theory to study rational choice among risky assets. For each investment, an economic agent expects to receive a random payoff and therefore maximizes its expected utility. To the best of our knowledge, there exists no general procedure to take the derivative of the expected utility as a function of the investment without heavy assumptions on the underlying processes. This article considers expected utility maximization when payoffs are modeled by a family of random variables increasing with investment for the convolution order such as Poisson, Gamma or Exponential distributions. For several common utility functions, with the help of fractional calculus, we manage to obtain closed-form formulas for the expected utility derivative. The paper also provides two economic applications: production of competitive firms and investment in prevention.

Suggested Citation

  • Romain Gauchon & Karim Barigou, 2024. "Expected utility maximization with stochastically ordered returns," Post-Print hal-03295594, HAL.
    • Handle: RePEc:hal:journl:hal-03295594
    DOI: 10.3390/risks12060095
    Note: View the original document on HAL open archive server: https://hal.science/hal-03295594
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    References listed on IDEAS

    as
    1. Shaked, Moshe & Suarez-Llorens, Alfonso, 2003. "On the Comparison of Reliability Experiments Based on the Convolution Order," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 693-702, January.
    2. Bensalem, Sarah & Santibáñez, Nicolás Hernández & Kazi-Tani, Nabil, 2020. "Prevention efforts, insurance demand and price incentives under coherent risk measures," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 369-386.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Convolution order; Expected utility; Fractional calculus; Prevention;
    All these keywords.

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