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Efficient Algorithms for Conducting Stochastic Dominance Tests on Large Numbers of Portfolios: Reply

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  • Porter, R. Burr
  • Pfaffenberger, Roger C.

Abstract

In their comment on a paper by Porter, Wart, and Ferguson [7], Professors Frankfurter and Phillips [2] have raised two serious objections to “any attempt to compare and contrast SD and EV efficiency criteria on empirical grounds.†Essentially, they have argued that empirical comparisons of SD and EV selection rules are invalid because:a. The EV portfolio building algorithms are not allowed to operate in such tests, andb. While the estimators of true E and V are derived from and supported by elementary sampling theory, there exists no comparable sampling theory for the estimation of total probability functions.

Suggested Citation

  • Porter, R. Burr & Pfaffenberger, Roger C., 1975. "Efficient Algorithms for Conducting Stochastic Dominance Tests on Large Numbers of Portfolios: Reply," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 10(1), pages 181-185, March.
  • Handle: RePEc:cup:jfinqa:v:10:y:1975:i:01:p:181-185_01
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    Cited by:

    1. Shalit, Haim & Yitzhaki, Shlomo, 1985. "Evaluating the Mean-Gini Approach to Portfolio Selection," Working Papers 232632, Hebrew University of Jerusalem, Center for Agricultural Economic Research.
    2. Timo Kuosmanen, 2004. "Efficient Diversification According to Stochastic Dominance Criteria," Management Science, INFORMS, vol. 50(10), pages 1390-1406, October.
    3. V.-P. Heikkinen & & Timo Kuosmanen, 2002. "Stochastic Dominance Portfolio Analysis of Forestry Assets," Finance 0210002, University Library of Munich, Germany.

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