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Stochastic Dominance in German Asset Returns: Empirical Evidence from the 1990s / Stochastische Dominanz von Renditen deutscher Aktien: Eine empirische Untersuchung für die 90er Jahre

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  • Schmid Friedrich

    (Seminar für Wirtschafts- und Sozialstatistik, Universität zu Köln, Albertus-Magnus-Platz, D-50923 Köln)

  • Trede Mark

    (Seminar für Wirtschafts- und Sozialstatistik, Universität zu Köln, Albertus-Magnus-Platz, D-50923 Köln)

Abstract

This note investigates the structure of dominance relations in daily returns of 32 German assets during the 1990s. We focus on stochastic dominance of first, second and third order but meanvariance and mean-Gini dominance is also considered. Efficient (i. e., nondominated) sets of assets are determined with respect to the various criteria. The investigation is purely nonparametric, i. e., based on the observed data alone. Parametric distributions or grouping is not used.

Suggested Citation

  • Schmid Friedrich & Trede Mark, 2000. "Stochastic Dominance in German Asset Returns: Empirical Evidence from the 1990s / Stochastische Dominanz von Renditen deutscher Aktien: Eine empirische Untersuchung für die 90er Jahre," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 220(3), pages 315-326, June.
    • Handle: RePEc:jns:jbstat:v:220:y:2000:i:3:p:315-326
    DOI: 10.1515/jbnst-2000-0305
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    References listed on IDEAS

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    1. Whitmore, G A, 1970. "Third-Degree Stochastic Dominance," American Economic Review, American Economic Association, vol. 60(3), pages 457-459, June.
    2. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    3. Haim Levy, 1992. "Stochastic Dominance and Expected Utility: Survey and Analysis," Management Science, INFORMS, vol. 38(4), pages 555-593, April.
    4. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
    5. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(3), pages 335-346.
    6. Hadar, Josef & Russell, William R, 1969. "Rules for Ordering Uncertain Prospects," American Economic Review, American Economic Association, vol. 59(1), pages 25-34, March.
    7. Yitzhaki, Shlomo, 1982. "Stochastic Dominance, Mean Variance, and Gini's Mean Difference," American Economic Review, American Economic Association, vol. 72(1), pages 178-185, March.
    8. Porter, R Burr & Gaumnitz, Jabk E, 1972. "Stochastic Dominance vs. Mean-Variance Portfolio Analysis: An Empirical Evaluation," American Economic Review, American Economic Association, vol. 62(3), pages 438-446, June.
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