Single-Period Mean: Variance Analysis in a Changing World
Ideally, financial analysts would like to be able to optimize a consumption-- investment game with many securities, many time periods, transaction costs, and changing probability distributions. We cannot. For a small optimizable version of such a game, we consider in this article how much would be l...
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Published in | Financial analysts journal Vol. 59; no. 2; pp. 30 - 44 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Charlottesville
The Association for Investment Management and Research
01.03.2003
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
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Abstract | Ideally, financial analysts would like to be able to optimize a consumption-- investment game with many securities, many time periods, transaction costs, and changing probability distributions. We cannot. For a small optimizable version of such a game, we consider in this article how much would be lost by following one or another heuristic that could be easily scaled to handle large games. For the games considered, a particular mean-variance heuristic does almost as well as the optimum strategy. |
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AbstractList | Ideally, financial analysts would like to be able to optimize a consumption-- investment game with many securities, many time periods, transaction costs, and changing probability distributions. We cannot. For a small optimizable version of such a game, we consider in this article how much would be lost by following one or another heuristic that could be easily scaled to handle large games. For the games considered, a particular mean-variance heuristic does almost as well as the optimum strategy. Ideally, financial analysts would like to be able to optimize a consumption-investment game with many securities, many time periods, transaction costs, and changing probability distributions, but they cannot. For a small optimizable version of such a game, this article considers how much would be lost by following one or another heuristic that could be easily scaled to handle large games. For the games considered, a particular mean-variance heuristic does almost as well as the optimum strategy. |
Author | Markowitz, Harry M. Erik L. van Dijk |
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Cites_doi | 10.1287/opre.31.4.685 10.1007/BF02282041 10.1287/mnsc.25.11.1127 10.2307/2331041 10.1111/0022-1082.00287 10.2307/1913492 10.1111/j.1540-6261.1984.tb03859.x 10.1287/moor.15.4.676 10.1287/mnsc.1.3-4.197 10.1287/mnsc.30.10.1143 10.1287/mnsc.21.11.1263 10.1016/0022-0531(76)90018-1 10.1086/295078 10.2307/2329839 10.2307/2330243 10.1016/S0304-405X(99)00004-5 10.3905/jpm.1994.409480 10.2307/1926559 |
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SubjectTerms | Approximation Capital market Cash Costs Dynamic programming Expected utility Expected values Finance Financial analysis Financial portfolios Forecasting models Games Heuristic Heuristics Investment policy Investments Investors Linear programming Management science Mathematical models Modeling Monte Carlo simulation Operations research Optimization Portfolio Management Quantitative analysis Rates of return Stock exchange Stock returns Transaction costs Utilities Utility functions Variance analysis |
Title | Single-Period Mean: Variance Analysis in a Changing World |
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