2013
DOI: 10.1142/9789814417358_0017
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The Efficiency Analysis of Choices Involving Risk

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Cited by 111 publications
(82 citation statements)
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“…For the financial sector see: Barro and Barro (1990), Crawford et al (1995), Hubbard and Palia (1995), Collins et al (1995), Houston and James (1995), Fields andFraser (1999), andJohn et al (2000). Swalm (1966), Levy (1969) and Kahneman and Tversky (1979), show that typical preferences must include risk seeking as well as risk averse segments. 3 The stochastic dominance literature developed by Hadar and Russell (1969) and Hanoch and Levy (1969), which includes the concepts of conditional stochastic dominance (Clark and Jokung, 1999) and marginal conditional stochastic dominance (Shalit and Yitshaki, 1994) extends this insight and provides decision rules for both risk seekers and risk averters.…”
Section: Introductionmentioning
confidence: 99%
“…For the financial sector see: Barro and Barro (1990), Crawford et al (1995), Hubbard and Palia (1995), Collins et al (1995), Houston and James (1995), Fields andFraser (1999), andJohn et al (2000). Swalm (1966), Levy (1969) and Kahneman and Tversky (1979), show that typical preferences must include risk seeking as well as risk averse segments. 3 The stochastic dominance literature developed by Hadar and Russell (1969) and Hanoch and Levy (1969), which includes the concepts of conditional stochastic dominance (Clark and Jokung, 1999) and marginal conditional stochastic dominance (Shalit and Yitshaki, 1994) extends this insight and provides decision rules for both risk seekers and risk averters.…”
Section: Introductionmentioning
confidence: 99%
“…Introduced by Hanoch and Levy (1969) and by Hadar and Russell (1969) to remedy certain shortcomings of mean-variance analysis, stochastic dominance approaches have the clear advantage of taking into account all moments and other characteristics of the return distributions, and providing investment dominance analyses that do not depend upon knowing the exact shapes of investor preference functions. This has another distinct advantage over the mean-variance approach, which cannot be valid for various horizons simultaneously because it relies on log-normally distributed returns, and which if valid (under certain conditions) for single-period returns is not valid for multiperiod returns.…”
Section: Performance Measurementmentioning
confidence: 99%
“…In terms of distributions, this amounts to Q * being obtained from Q by increasing values (pointwise) and applying mean-preserving spreads (see Hadar and Russell 1969;Hanoch and Levy 1969;Rothschild and Stiglitz 1970; and the book of Shaked and Shanthikumar 2010).…”
Section: Remarksmentioning
confidence: 99%