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Statistical Inference in Two-Parameter Portfolio Theory with Multiple Regression Software

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  • Jobson, J. D.
  • Korkie, Bob

Abstract

The purpose of this paper is to demonstrate how multiple regression software may be used for computing estimates of efficient set parameters and for performing tests of mean-standard deviation efficiency. Regression software also is shown to be useful for selecting, from a set of assets, a subset that maximizes performance and for comparing the performance of the set to the subset. The underlying multiple regression model fitted by the software has no relation to the analysis; the regression software is employed simply as a computing device. Since the multiple regression procedure is familiar to most finance researchers and since regression software is commonly available, the techniques presented here should be of wide interest.

Suggested Citation

  • Jobson, J. D. & Korkie, Bob, 1983. "Statistical Inference in Two-Parameter Portfolio Theory with Multiple Regression Software," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 18(2), pages 189-197, June.
    • Handle: RePEc:cup:jfinqa:v:18:y:1983:i:02:p:189-197_01
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    Cited by:

    1. Fernandes, Marcelo & Mergulhão, João, 2016. "Anticipatory effects in the FTSE 100 index revisions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 79-90.
    2. Raymond Kan & Guofu Zhou, 2012. "Tests of Mean-Variance Spanning," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 139-187, May.
    3. Turtle, H.J. & Zhang, Chengping, 2012. "Time-varying performance of international mutual funds," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 334-348.
    4. Fernandes, Marcelo & Mergulhão, João, 2016. "Anticipatory effects in the FTSE 100 index revisions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 79-90.
    5. Haim Shalit, 2020. "The Shapley value of regression portfolios," Journal of Asset Management, Palgrave Macmillan, vol. 21(6), pages 506-512, October.
    6. Penaranda, Francisco, 2007. "Portfolio choice beyond the traditional approach," LSE Research Online Documents on Economics 24481, London School of Economics and Political Science, LSE Library.
    7. Lu, Qinye & Vivian, Andrew, 2020. "Domestically formed international diversification," Journal of International Money and Finance, Elsevier, vol. 103(C).

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