Lottery-Dependent Utility via Stochastic Benchmarking

Theory and Decision 55 (1):45-57 (2003)
Abstract
The possibility to interpret expected and nonexpected utility theories in purely probabilistic terms has been recently investigated. Such interpretation proposes as guideline for the Decision Maker the comparison of random variables through their probability to outperform a stochastic benchmark. We apply this type of analysis to the model of Becker and Sarin, showing that their utility functional may be seen as the probability that an opportune random variable, depending on the one to be evaluated, does not outperform a non-random benchmark. Further, the consequent choice criterion is equivalent to a sort of probability of ruin. Possible interpretations and financial examples are discussed
Keywords benchmarking  choice criteria  lottery-dependent utility  nonexpected utility theory  probability of ruin
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Reprint years 2004
DOI 10.1023/B:THEO.0000019077.14252.9c
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