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Optimal robust and consistent active implementation of a pension fund's benchmark investment strategy

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Abstract

The benchmark investment strategy of a pension fund typically consists of a number of benchmark categories, each of which is assigned a weight in the overall investment budget. In this paper we assume that the benchmark strategy is given, and determine a model for its optimal active implementation. Active implementation involves a number of investment managers each of whom are assigned a specific benchmark category. We present a mean–variance approach to determine, for each investment manager, the optimal budget as well as the fraction of that budget that can be used for deviations from the benchmark. The emphasis is on robustness of the optimal allocation with respect to parameter misestimation, and on consistency in terms of risk-return preferences between active implementation and benchmark investment strategy.

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Notes

  1. The norm ∥A∥ in (14) equals , where λ i (A) denote the eigenvalues of A. Moreover, we use the notation A≥0 to indicate that A is positive semi-definite.

  2. It follows from (19) that robustness implies that the expected return is reduced with a factor θ times the standard deviation of the return, where θ2 satisfies . It can be verified that () features a sharp increase for low values.

  3. Since in (14) β is required to be strictly less than 1, it follows from (16) that the maximum level of robustness with respect to uncertainty in the covariance matrix equals .

References

  • Baierl, G. T. and Chen, P. (2000) ‘Choosing Managers and Funds’, The Journal of Portfolio Management, 26 (2), 47–53, 264.

    Article  Google Scholar 

  • Ben-Tal, A. and Nemirovski, A. (1998) ‘Robust Convex Optimization’, Mathematics of Operations Research, 23, 769–805.

    Article  Google Scholar 

  • Best, M. J. and Grauer, R. R. (1991) ‘On the Sensitivity of Mean–Variance-Efficient Portfolios to Changes in Asset Means: Some Analytical and Computational Results’, Review of Financial Studies, 4, 315–342.

    Article  Google Scholar 

  • Boender, G. (1997) ‘A Hybrid Simulation/Optimisation Scenario Model for Asset/Liability Management’, European Journal of Operational Research, 99, 126–135.

    Article  Google Scholar 

  • Ceria, S. and Stubbs, R. A. (2006) ‘Incorporating Estimation Errors into Portfolio Selection: Robust Portfolio Construction’, Journal of Asset Management, 7 (2), 109–127.

    Article  Google Scholar 

  • Chopra, V. K. and Ziemba, W. T. (1993) ‘The Effect of Errors in Means, Variances and Covariances on Optimal Portfolio Choice’, The Journal of Portfolio Management, 19, 6–11.

    Article  Google Scholar 

  • Dempe, S. (2002) Foundations of Bilevel Programming, Kluwer Academic Publishers, Dordrecht.

    Google Scholar 

  • Goldfarb, D. and Iyengar, G. (2003) ‘Robust Portfolio Selection Problems’, Mathematics of Operations Research, 28, 1–38.

    Article  Google Scholar 

  • Kritzman, M. (2006) ‘Portfolio Optimization — Are Optimizers Error Maximizers?’ The Journal of Portfolio Management, 32 (4), 66–69.

    Article  Google Scholar 

  • Michaud, R. O. (1998) Efficient Asset Management: A Practical Guide to Stock Portfolio Management and Asset Allocation, Financial Management Association, Survey and Synthesis Series, Harvard Business School Press, Boston, MA.

    Google Scholar 

  • Roll, R. (1992) ‘A Mean-Variance Analysis of Tracking Error’, The Journal of Portfolio Management, 18, 13–22.

    Article  Google Scholar 

  • Scherer, B. (2002) Portfolio Construction and Risk Budgeting, Risk Books, New York.

    Google Scholar 

  • Schöttle, K. and Werner, R. (2006) ‘Towards Reliable Efficient Frontiers’, Journal of Asset Management, 7, 128–141.

    Article  Google Scholar 

  • Sturm, J. (1999) ‘Using SeDuMi 1.02, a Matlab Toolbox for Optimization Over Symmetric Cones’, Optimization Methods and Software, 11–12, 625–653.

    Article  Google Scholar 

  • Waring, B., Whitney, D., Pirone, J. and Castille, C. (2000) ‘Optimizing Manager Structure and Budgeting Manager Risk’, The Journal of Portfolio Management, 26 (3), 90–104.

    Article  Google Scholar 

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Correspondence to Tim van Hest.

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van Hest, T., De Waegenaere, A. Optimal robust and consistent active implementation of a pension fund's benchmark investment strategy. J Asset Manag 8, 176–187 (2007). https://doi.org/10.1057/palgrave.jam.2250072

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  • DOI: https://doi.org/10.1057/palgrave.jam.2250072

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