Efficient Diversification According to Stochastic Dominance Criteria

Published Online:https://doi.org/10.1287/mnsc.1040.0284

References

  • Aboudi R., Thon D. Efficient algorithms for stochastic dominance tests based on financial market data. Management Sci. (1994) 40(4):508–515LinkGoogle Scholar
  • Afriat S. The construction of a utility function from expenditure data. Internat. Econom. Rev. (1967) 8:67–77CrossrefGoogle Scholar
  • Bawa V. S. Stochastic dominance: A research bibliography. Management Sci. (1982) 28:698–712LinkGoogle Scholar
  • Bawa V. S., Lindenberg E., Rafsky L. An algorithm to determine stochastic dominance admissible sets. Management Sci. (1979) 25(7):609–622LinkGoogle Scholar
  • Bixby R. E. Solving real-world linear programs: A decade and more of progress. Oper. Res. (2002) 50(1):3–15LinkGoogle Scholar
  • Charnes A., Cooper W. W., Rhodes E. Measuring the efficiency of decision making units. Eur. J. Oper. Res. (1978) 2(6):429–444CrossrefGoogle Scholar
  • Charnes A., Cooper W. W., Golany B., Seiford L., Stutz J. Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. J. Econometrics (1985) 30(1):91–107CrossrefGoogle Scholar
  • Dybvig P. H., Ross S. A. Portfolio efficient sets. Econometrica (1982) 50(6):1525–1546CrossrefGoogle Scholar
  • Farrell M. J. The measurement of productive efficiency. J. Roy. Statist. Soc. Ser. A (1957) 120(3):253–290CrossrefGoogle Scholar
  • Fishburn P. C.Decision and Value Theory (1964) (John Wiley & Sons, New York) Google Scholar
  • Fourer R. Linear programming: 2001 software survey. OR/MS Today (2001) 28(4):58–59–68Google Scholar
  • Frankfurter G. M., Phillips H. E. Efficient algorithms for conducting stochastic dominance tests on large numbers of portfolios, a comment. J. Financial Quant. Anal. (1975) 10:177–179CrossrefGoogle Scholar
  • French K. R.Kenneth R. French—Data Library (2003) . Accessed September 2, 2003 http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.htmlGoogle Scholar
  • Gavish B. A relaxation algorithm for building undominated portfolios. J. Banking Finance (1977) 1:143–150CrossrefGoogle Scholar
  • Hadar J., Russel W. R. Rules for ordering uncertain prospects. Amer. Econom. Rev. (1969) 59:25–34Google Scholar
  • Hardy G. H., Littlewood J. E., Polya G.Inequalities (1934) (Cambridge University Press, Cambridge, U.K.) Google Scholar
  • Karlin S., Novikoff A. Generalized convex inequalities. Pacific J. Math. (1963) 1251–1279CrossrefGoogle Scholar
  • Koopmans T. C., Beckmann M. Assignment problems and the location of economic activities. Econometrica (1957) 25:53–76CrossrefGoogle Scholar
  • Kroll Y., Levy H. Sampling errors and portfolio efficient analysis. J. Financial Quant. Anal. (1980) 15:655–688CrossrefGoogle Scholar
  • Kuosmanen T. Stochastic dominance efficiency tests under diversification. (2001) (Helsinki, Finland). Working paper W-283 Helsinki School of Economics and Business AdministrationGoogle Scholar
  • Levy H. Stochastic dominance and expected utility: Survey and analysis. Management Sci. (1992) 38(4):555–593LinkGoogle Scholar
  • Levy H.Stochastic Dominance: Investment Decision Making Under Uncertainty (1998) (Kluwer Academic Publishers, Norwell, MA) CrossrefGoogle Scholar
  • Levy H., Hanoch G. Relative effectiveness of efficiency criteria for portfolio selection. J. Financial Quant. Anal. (1970) 5:63–76CrossrefGoogle Scholar
  • Levy H., Wiener Z. Stochastic dominance and prospect dominance with subjective weighting functions. J. Risk Uncertainty (1998) 16(2):147–163CrossrefGoogle Scholar
  • Machina M. J. Expected utility analysis without the independence axiom. Econometrica (1982) 50(2):277–324CrossrefGoogle Scholar
  • Markowitz H. M. Portfolio selection. J. Finance (1952) 12:77–91Google Scholar
  • Markowitz H. M.Portfolio Selection (1959) (John Wiley & Sons, New York) Google Scholar
  • Markowitz H. M., Levy H., Sarnat M. An algorithm for finding undominated portfolios. Financial Decision Making Under Uncertainty (1977) (Academic Press, New York) 3–10CrossrefGoogle Scholar
  • McFadden D., Fomby T. B., Seo T. K. Testing for stochastic dominance. Studies in the Economics of Uncertainty. In Honor of Josef Hadar (1989) (Springer Verlag, Berlin and New York) 113–134CrossrefGoogle Scholar
  • Mittelmann H. Benchmarks for optimization software. (2003) . Accessed September 1, 2003 http://plato.la.asu.edu/bench.htmlGoogle Scholar
  • Nelson R. D., Pope R. Bootstrapping insights into empirical applications of stochastic dominance. Management Sci. (1991) 37:1182–1194LinkGoogle Scholar
  • Neumann J. von, Kuhn H. W., Tucker A. W. A certain zero-sum two-person game equivalent to the optimal assignment problem. Contributions to the Theory of Games (1953) II(Princeton University Press, Princeton, NJ) 5–12CrossrefGoogle Scholar
  • Neumann J. von, Morgenstern O.Theory of Games and Economic Behavior (1944) (Princeton University Press, Princeton, NJ) Google Scholar
  • Peleg B., Yaari M. E. A price characterization of efficient random variables. Econometrica (1975) 43(2):283–292CrossrefGoogle Scholar
  • Performance World (2003) . GAMS Development Corp. Accessed August 31, 2003 http://www.gamsworld.org/performance/plib/size.htmGoogle Scholar
  • Porter R. B., Pfaffenberger R. C. Efficient algorithms for conducting stochastic dominance tests on large numbers of portfolios: Reply. J. Financial Quant. Anal. (1975) 10:181–185CrossrefGoogle Scholar
  • Porter R. B., Wart J. R., Ferguson D. L. Efficient algorithms for conducting stochastic dominance tests on large numbers of portfolios. J. Financial Quant. Anal. (1973) 8:71–82CrossrefGoogle Scholar
  • Post G. T. Empirical tests for stochastic dominance efficiency. J. Finance (2003a) 58(5):1905–1931CrossrefGoogle Scholar
  • Post G. T. Asset pricing and omitted moments: A stochastic dominance analysis of market efficiency. Erasmus Research Institute of Management (ERIM). (2003b) (Rotterdam, The Netherlands)Google Scholar
  • Quirk J., Saposnik R. Admissibility and measurable utility functions. Rev. Econom. Stud. (1962) 29:140–146CrossrefGoogle Scholar
  • Rockafellar R. T.Convex Analysis (1970) (Princeton University Press, Princeton, NJ) CrossrefGoogle Scholar
  • Rothschild M., Stiglitz J. E. Increasing risk I: A definition. J. Econom. Theory (1970) 2:225–243CrossrefGoogle Scholar
  • Schmeidler D. A bibliographical note on a theorem of Hardy, Littlewood, and Polya. J. Econom. Theory (1979) 20:125–128CrossrefGoogle Scholar
  • Schmid F., Trede M. Testing for first-order stochastic dominance: A new distribution free test. Statistician (1996) 45(3):371–380CrossrefGoogle Scholar
  • Starmer C. Developments in non-expected utility theory: The hunt for a descriptive theory of choice under risk. J. Econom. Lit. (2000) 38(2):332–382CrossrefGoogle Scholar
  • Stiglitz J. The allocation role of the stock market: Pareto optimality and competition. J. Finance (1981) 36(2):235–251CrossrefGoogle Scholar
  • Varian H. Nonparametric tests of models of investor behavior. J. Financial Quant. Anal. (1983) 18:269–278CrossrefGoogle Scholar
  • Ziemba W. T., Whitmore G. A., Findlay M. C. Portfolio applications: Computational aspects. Stochastic Dominance: An Approach to Decision-Making Under Risk (1978) (D.C. Heath, Lexington, MA) 199–260Google Scholar
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