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NON-EXPECTED UTILITY THEORIES: WEIGHTED EXPECTED, RANK DEPENDENT, AND CUMULATIVE PROSPECT THEORY UTILITY AgEcon
Tuthill, Jonathan W.; Frechette, Darren L..
This paper discusses some of the failings of expected utility including the Allais paradox and expected utility's inadequate one dimensional characterization of risk. Three alternatives to expected utility are discussed at length; weighted expected utility, rank dependent utility, and cumulative prospect theory. Each alternative is capable of explaining Allais paradox type problems and permits more sophisticated multi dimensional risk preferences.
Tipo: Conference Paper or Presentation Palavras-chave: Risk and Uncertainty.
Ano: 2002 URL: http://purl.umn.edu/19073
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WEIGHTED EXPECTED UTILITY HEDGE RATIOS AgEcon
Frechette, Darren L.; Tuthill, Jonathan W..
We derive a new hedge ratio based on weighted expected utility. Weighted expected utility is a generalization of expected utility that permits non-linear probability weights. Generally speaking weighted expected utility hedge ratios are less than minimum variance hedge ratios and larger than expected utility hedge ratios.
Tipo: Conference Paper or Presentation Palavras-chave: Hedging; Hedge ratio; Weighted expected utility; Allais Paradox; Marketing.
Ano: 2000 URL: http://purl.umn.edu/18931
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