Safety-First, Stochastic Dominance, and Optimal Portfolio Choice
Journal of Financial and Quantitative AnalysisPublished 1 June 1978
Vijay S. Bawa
Citations279
SJR quartileQ1
SJR score4.46
SNIP2.34
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Stochastic Dominance rules are playing an increasingly prominent role in the literature on choice under uncertainty. Their foundation is the mainstream VonNeumann-Morgenstern expected utility paradigm. Their essence is to provide an admissible set of choices under restrictions on the utility functions that follow from prevalent and appealing modes of economic behavior: The admissible sets generated are useful for a large group of individual decision makers and the optimal choice for an individual can then be obtained from among the smaller set of admissible choices.
Keywords
Decision SciencesEconomics, Econometrics and Finance
American Mathematical Society eBooksTheory of games and economic behavior
16,943 Citations2019Stephan Ramon Garcia, Steven J. Miller
The Review of Economic StudiesLiquidity Preference as Behavior Towards Risk
3,853 Citations1958James Tobin
Journal of the American Statistical AssociationPortfolio Selection: Efficient Diversification of Investments.
3,745 Citations1962H. S. Houthakker, Harry M. Markowitz
The Review of Economic StudiesThe Efficiency Analysis of Choices Involving Risk
1,425 Citations1969Giora Hanoch, Haim Levy
Journal of Financial EconomicsOptimal rules for ordering uncertain prospects
861 Citations1975Vijay S. Bawa
Journal of Financial EconomicsCapital market equilibrium in a mean-lower partial moment framework
848 Citations1977Vijay S. Bawa, Eric B. Lindenberg
The Review of Economic StudiesAdmissibility and Measurable Utility Functions
566 Citations1962J. P. Quirk, Rubin Saposnik
Journal of Financial EconomicsThe effect of estimation risk on optimal portfolio choice
560 Citations1976Roger Klein, Vijay S. Bawa
It is shown that for normally distributed returns and ‘non-informative’ or ‘invariant’ priors, the admissible set of portfolios taking the estimation uncertainty into account is identical to that given by traditional analysis, however, as a result of estimation risk, the optimal portfolio choice differs from that obtained byTraditional analysis.
Journal of Financial and Quantitative AnalysisToward the Development of an Equilibrium Capital-Market Model Based on Semivariance
361 Citations1974William W. Hogan, James M. Warren
Journal of Economic TheoryStochastic dominance and diversification
242 Citations1971Josef Hadar, William R. Russell
Journal of Financial and Quantitative AnalysisModels of Capital Budgeting, E-V Vs E-S
196 Citations1970James C. T. Mao
Management ScienceSimplifying the Choice between Uncertain Prospects Where Preference is Nonlinear
180 Citations1974John S. Hammond
Journal of Financial and Quantitative AnalysisComputation of the Efficient Boundary in the E-S Portfolio Selection Model
141 Citations1972William W. Hogan, James M. Warren
Management ScienceStochastic Dominance Tests for Decreasing Absolute Risk Aversion. I. Discrete Random Variables
65 Citations1975R. G. Vickson
Management ScienceStochastic Dominance Tests for Decreasing Absolute Risk-Aversion II: General Random Variables
41 Citations1977R. G. Vickson
Journal of Financial and Quantitative AnalysisStochastic Dominance for Decreasing Absolute Risk Aversion
35 Citations1975R. G. Vickson
Journal of Financial and Quantitative AnalysisA Note on the E, SL Portfolio Selection Model
28 Citations1975James S. Ang
Journal of Financial and Quantitative AnalysisA Note on Portfolio Selection and Investors' Wealth
18 Citations1971Haim Levy, Marshall Sarnat
