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Performance-Measure Approaches for Selecting Optimum Portfolios

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Handbook of Quantitative Finance and Risk Management

Abstract

In this chapter, following Elton et al. (Journal of Finance 31:1341–57, 1976; Modern portfolio theory and investment analysis, 7th edn. Wiley, New York, 2006), we introduce the performance-measure approaches to determine optimal portfolios. We find that the performance-measure approaches for optimal portfolio selection are complementary to the Markowitz full variance-covariance method and the Sharpe index-model method. The economic rationale of the Treynor method is also discussed in detail.

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Notes

  1. 1.

    Since the ratio of Equation (8.3) is homogeneous of degree zero with respect to W i . In other words, the ratio L is unchanged by any proportionate change in the weight of W i .

  2. 2.

    Elton et al. (2006).

  3. 3.

    If the beta coefficient β i for ith security is positive, then the size of H i depends on the sign of the term in parentheses. Therefore, if a security with a particular \(\left ({\overline{R}}_{i} - {R}_{f}\right )\left /\right. {\beta}_{i}\) is included in the optimum portfolio, all securities with a positive beta that have higher values of \(\left ({\overline{R}}_{i} - {R}_{f}\right )\left /\right. {\beta}_{i}\) must be included in the optimum portfolio.

  4. 4.

    This set of data has been analyzed in later chapters. The names of these 30 firms can be found in Table 19.1.

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Correspondence to Jessica Shin-Ying Mai .

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Lee, CF., Chen, HY., Mai, J.SY. (2010). Performance-Measure Approaches for Selecting Optimum Portfolios. In: Lee, CF., Lee, A.C., Lee, J. (eds) Handbook of Quantitative Finance and Risk Management. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77117-5_8

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