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New results on high-order risk changes

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  • Menegatti, Mario

Abstract

This note extends the results on the first four derivatives of the utility function by Menegatti (Eur. J. Oper. Res. 232 (2014) 613–617) to the case of high-order derivatives. We show that, under usual assumptions, if the generic derivative of the utility function of order n is sign invariant then all the derivatives from order n to order 2 alternate in sign. We then focus on the case where the derivative of the utility function of order n is either positive when n is odd or negative when n is even, and we show the implications of this result for high-order risk changes and for saving decisions.

Suggested Citation

  • Menegatti, Mario, 2015. "New results on high-order risk changes," European Journal of Operational Research, Elsevier, vol. 243(2), pages 678-681.
  • Handle: RePEc:eee:ejores:v:243:y:2015:i:2:p:678-681
    DOI: 10.1016/j.ejor.2014.12.023
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    References listed on IDEAS

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    Cited by:

    1. De Donno, Marzia & Menegatti, Mario, 2022. "On the relationship between comparisons of risk aversion of different orders," Journal of Mathematical Economics, Elsevier, vol. 102(C).
    2. Liqun Liu & William S. Neilson, 2019. "Alternative Approaches to Comparative n th-Degree Risk Aversion," Management Science, INFORMS, vol. 65(8), pages 3824-3834, August.
    3. Marzia Donno & Marco Magnani & Mario Menegatti, 2020. "Changes in multiplicative risks and optimal portfolio choice: new interpretations and results," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 251-267, June.
    4. Christophe Courbage & Henri Loubergé & Béatrice Rey, 2018. "On the properties of high-order non-monetary measures for risks," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(1), pages 77-94, May.
    5. Wang, Jianli & Wang, Hongxia & Yick, Ho Yin, 2019. "How do changes in risk and risk aversion affect self-protection with Selden/Kreps–Porteus preferences?," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 1-6.
    6. Brianti, Marco & Magnani, Marco & Menegatti, Mario, 2018. "Optimal choice of prevention and cure under uncertainty on disease effect and cure effectiveness," Research in Economics, Elsevier, vol. 72(2), pages 327-342.
    7. Crainich, David & Eeckhoudt, Louis & Menegatti, Mario, 2016. "Changing risks and optimal effort," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 97-106.
    8. Mensah, Edouard R. & Filipski, Mateusz J., 2022. "Saving for a rainy day: the impact of natural disasters on savings rates," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322266, Agricultural and Applied Economics Association.
    9. Donatella Baiardi & Marco Magnani & Mario Menegatti, 2020. "The theory of precautionary saving: an overview of recent developments," Review of Economics of the Household, Springer, vol. 18(2), pages 513-542, June.
    10. Marzia De Donno & Mario Menegatti, 2020. "Some conditions for the equivalence between risk aversion, prudence and temperance," Theory and Decision, Springer, vol. 89(1), pages 39-60, July.
    11. Mario Menegatti & Richard Peter, 2022. "Changes in Risky Benefits and in Risky Costs: A Question of the Right Order," Management Science, INFORMS, vol. 68(5), pages 3625-3634, May.
    12. Mario Menegatti, 2016. "A note on portfolio selection and stochastic dominance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 39(2), pages 327-331, November.

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