On S-Convexity and Risk Aversion
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DOI: 10.1023/A:1010336203373
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- Marco Scarsini & Michel Denuit & Claude Lefevre, 2001. "On S-convexity and risk aversion," Post-Print hal-00540202, HAL.
References listed on IDEAS
- Kaas, R. & Hesselager, O., 1995. "Ordering claim size distributions and mixed Poisson probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 17(2), pages 193-201, October.
- Denuit, Michel & Vylder, Etienne De & Lefevre, Claude, 1999. "Extremal generators and extremal distributions for the continuous s-convex stochastic orderings," Insurance: Mathematics and Economics, Elsevier, vol. 24(3), pages 201-217, May.
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Cited by:
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- M. Denuit & L. Eeckhoudt, 2010. "Stronger measures of higher-order risk attitudes," Post-Print halshs-00485755, HAL.
- Christophe Courbage & Béatrice Rey, 2020. "On temperance and risk spreading," Theory and Decision, Springer, vol. 88(4), pages 527-539, May.
- Marta_Cardin & Paola_Ferretti, 2004. "Some theory of bivariate risk attitude," Game Theory and Information 0411009, University Library of Munich, Germany.
- Denuit, Michel & Liu, Liqun, 2013. "Decreasing higher-order absolute risk aversion and higher-degree stochastic dominance," LIDAM Discussion Papers ISBA 2013007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Michel Denuit & Liqun Liu, 2014. "Decreasing higher-order absolute risk aversion and higher-degree stochastic dominance," Theory and Decision, Springer, vol. 76(2), pages 287-295, February.
- Michel Denuit & Louis Eeckhoudt, 2010.
"Bivariate Stochastic Dominance and Substitute Risk-(In)dependent Utilities,"
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- DENUIT, Michel & EECKHOUDT, Louis, 2010. "Bivariate stochastic dominance and substitute risk-(in)dependent utilities," LIDAM Reprints CORE 2361, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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More about this item
Keywords
Expected utility theory; Actuarial studies; s-convex pain functions; Stochastic s-convex orders; Recursive lotteries;All these keywords.
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