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|a (JST)2634472
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|a DE-627
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|a eng
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|a Young, Martin R.
|e verfasserin
|4 aut
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|a A Minimax Portfolio Selection Rule with Linear Programming Solution
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|c 1998
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|a Text
|b txt
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|a Computermedien
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|a Online-Ressource
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|a A new principle for choosing portfolios based on historical returns data is introduced; the optimal portfolio based on this principle is the solution to a simple linear programming problem. This principle uses minimum return rather than variance as a measure of risk. In particular, the portfolio is chosen that minimizes the maximum loss over all past observation periods, for a given level of return. This objective function avoids the logical problems of a quadratic (nonmonotone) utility function implied by mean-variance portfolio selection rules. The resulting minimax portfolios are diversified; for normal returns data, the portfolios are nearly equivalent to those chosen by a mean-variance rule. Framing the portfolio selection process as a linear optimization problem also makes it feasible to constrain certain decision variables to be integer, or 0-1, valued; this feature facilitates the use of more complex decision-making models, including models with fixed transaction charges and models with Boolean-type constraints on allocations.
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|a Copyright 1998 Institute for Operations Research and the Management Sciences
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|a Mean-Variance Analysis
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|a Optimization
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|a Utility Theory
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|a Volatility
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|a Mathematics
|x Applied mathematics
|x Game theory
|x Minimax
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|a Economics
|x Economic disciplines
|x Financial economics
|x Finance
|x Financial investments
|x Financial portfolios
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Statistical variance
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|a Economics
|x Microeconomics
|x Economic utility
|x Utility functions
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|a Economics
|x Economic disciplines
|x Financial economics
|x Finance
|x Financial analysis
|x Risk management
|x Risk aversion
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|a Applied sciences
|x Computer science
|x Computer programming
|x Mathematical programming
|x Linear programming
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|a Economics
|x Economic disciplines
|x Financial economics
|x Finance
|x Financial instruments
|x Financial securities
|x Securities management
|x Security portfolios
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|a Mathematics
|x Pure mathematics
|x Discrete mathematics
|x Number theory
|x Numbers
|x Real numbers
|x Rational numbers
|x Integers
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|a Economics
|x Economic disciplines
|x Financial economics
|x Finance
|x Financial investments
|x Investors
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|a Information science
|x Information management
|x Data management
|x Data architecture
|x Data security
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|a research-article
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|i Enthalten in
|t Management Science
|d Institute for Operations Research and the Management Sciences, 1954
|g 44(1998), 5, Seite 673-683
|w (DE-627)320623602
|w (DE-600)2023019-9
|x 15265501
|7 nnns
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|g volume:44
|g year:1998
|g number:5
|g pages:673-683
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|u https://www.jstor.org/stable/2634472
|3 Volltext
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|d 44
|j 1998
|e 5
|h 673-683
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