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Mean–variance vs trend–risk portfolio selection

Author

Listed:
  • David Neděla

    (VSB–Technical University of Ostrava)

  • Sergio Ortobelli

    (VSB–Technical University of Ostrava
    University of Bergamo)

  • Tomáš Tichý

    (VSB–Technical University of Ostrava)

Abstract

In this paper, we provide an alternative trend (time)-dependent risk measure to Ruttiens’ accrued returns variability (Ruttiens in Comput Econ 41:407–424, 2013). We propose to adjust the calculation procedure to achieve an alternative risk measure. Our modification eliminates static mean component and it is based on the deviation of squared dispersions, which reflects the trend (time factor) precisely. Moreover, we also present a new perspective on dependency measures and we apply a PCA to a new correlation matrix in order to determine a parametric and nonparametric return approximation. In addition, the two-phase portfolio selection strategy is considered, where the mean–variance portfolio selection strategies represent the first optimization. The second one is the minimization of deviations from their trend leading to identical mean and final wealth. Finally, an empirical analysis verify the property and benefit of portfolio selection strategies based on these trend-dependent measures. In particular, the ex-post results show that applying the modified measure allows us to reduce the risk with respect to the trend of several portfolio strategies.

Suggested Citation

  • David Neděla & Sergio Ortobelli & Tomáš Tichý, 2024. "Mean–variance vs trend–risk portfolio selection," Review of Managerial Science, Springer, vol. 18(7), pages 2047-2078, July.
    • Handle: RePEc:spr:rvmgts:v:18:y:2024:i:7:d:10.1007_s11846-023-00660-x
    DOI: 10.1007/s11846-023-00660-x
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    References listed on IDEAS

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