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Comparative Risk Aversion for g-Expected Utility Maximizers

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Nonlinear Mathematics for Uncertainty and its Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 100))

Abstract

An index is introduced to measure the risk aversion of a g-expected utility maximizer.

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References

  1. Arrow, K.: Essays in the Theory of Risk Bearing. North Holland, London (1970)

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© 2011 Springer-Verlag Berlin Heidelberg

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Jia, G., Xia, J. (2011). Comparative Risk Aversion for g-Expected Utility Maximizers. In: Li, S., Wang, X., Okazaki, Y., Kawabe, J., Murofushi, T., Guan, L. (eds) Nonlinear Mathematics for Uncertainty and its Applications. Advances in Intelligent and Soft Computing, vol 100. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22833-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-22833-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22832-2

  • Online ISBN: 978-3-642-22833-9

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