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Journal ArticleDOI

The Efficiency Analysis of Choices Involving Risk

Giora Hanoch, +1 more
- 01 Jul 1969 - 
- Vol. 36, Iss: 3, pp 335-346
TLDR
In this paper, an analysis of the first step of the decision-making process of an individual decision maker among alternative risky ventures is presented, in terms of a single dimension such as money, both for the utility functions and for the probability distributions.
Abstract
Publisher Summary The choice of an individual decision maker among alternative risky ventures may be regarded as a two-step procedure. The decision maker chooses an efficient set among all available portfolios, independently of his tastes or preferences. Then, the decision maker applies individual preferences to this set to choose the desired portfolio. The subject of this chapter is the analysis of the first step. It deals with optimal selection rules that minimize the efficient set by discarding any portfolio that is inefficient in the sense that it is inferior to a member of the efficient set, from point of view of each and every individual, when all individuals' utility functions are assumed to be of a given general class of admissible functions. The analysis presented in the chapter is carried out in terms of a single dimension such as money, both for the utility functions and for the probability distributions. However, the results may easily be extended, with minor changes in the theorems and the proofs, to the multivariate case. The chapter explains a necessary and sufficient condition for efficiency, when no further restrictions are imposed on the utility functions. It presents proofs of the optimal efficiency criterion in the presence of general risk aversion, that is, for concave utility functions.

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Citations
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Calculating exceedance probabilities using a distributionally robust method

TL;DR: In this paper, an approach based on a generalization of the Chebyshev inequality for the class of distributions with a logarithmically concave cumulative distribution function is presented.
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Transaction Costs and Stochastic Dominance Efficiency in the Index Futures Options Market

TL;DR: In this paper, the authors examined the stochastic dominance efficiency in the presence of transaction costs for S&P 500 index futures call and put options by estimating bounds on reservation write and reservation purchase prices and then verifying whether the observed option prices satisfy them.
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Use of stochastic and mathematical programming in portfolio theory and practice

TL;DR: This paper begins with the simplest problems and builds the theory to the more complex cases and then applies it to real financial asset allocation problems, hedge funds and professional racetrack betting.
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Stochastic dominance and parameter estimation: The case of symmetric stable distributions

TL;DR: In this paper, the authors apply stochastic dominance rules to the selection of statistical estimators, and find that the preference of one estimator over another depends on the characteristic exponent and on the sample size.
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New algorithms for optimal reduction of technical risks

TL;DR: It is demonstrated that the number of activities in a risky prospect is a key consideration in selecting the risky prospect and the maximum expected profit criterion, widely used for making risk decisions, is fundamentally flawed.
References
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Journal ArticleDOI

Capital asset prices: a theory of market equilibrium under conditions of risk*

TL;DR: In this paper, the authors present a body of positive microeconomic theory dealing with conditions of risk, which can be used to predict the behavior of capital marcets under certain conditions.
Journal ArticleDOI

The Utility Analysis of Choices Involving Risk

TL;DR: In this paper, the authors suggest that an important class of reactions of individuals to risk can be rationalized by a rather simple extension of orthodox utility analysis, i.e., individuals frequently must, or can, choose among alternatives that differ, among other things, in the degree of risk to which the individual will be subject.
Journal ArticleDOI

The Existence of Probability Measures with Given Marginals

TL;DR: In this article, the existence of probability distributions with given marginals is studied under typically weaker assumptions, than those which are required by the use of Theorem 1, and necessary and sufficient conditions for a sequence of probability measures to be the sequence of distributions of a martingale, an upper semi-martingale or of partial sums of independent random variables.