Portfolio performance under tracking error and benchmark volatility constraints

Authors

  • Jan Frederick Hausner Faculty of Commerce, School of Economics, University of Cape Town, Cape Town, South Africa,
  • Gary van Vuuren Centre for Business Mathematics and Informatics, North-West University – Potchefstroom Campus, Potchefstroom, South Africa

Keywords:

Tracking error, Portfolio performance optimisation, Active management

Abstract

Purpose. Using a portfolio comprising liquid global stocks and bonds, this study aims to limit absolute risk to that of a standardised benchmark and determine whether this has a significant impact on expected return in both high volatility period (HV) and low volatility period (LV).

Design/methodology/approach. Using a traditional benchmark comprising 40% equity and 60% bonds, a constant tracking error (TE) frontier was constructed and implemented. Portfolio performance for different TE constraints and different economic periods (expansion and contraction) was explored.

Findings. Results indicate that during HV, replicating benchmark portfolio risk produces portfolios that outperform both the maximum return (MR) portfolio and the benchmark. MR portfolios outperform those with the same risk as that of the benchmark in LV. The MR portfolio weights assets to obtain the highest return on the TE frontier. During HV, the benchmark replicated risk portfolio obtained a higher absolute risk value than that of the MR portfolio because of an inefficient benchmark. In HV, the benchmark replicated risk portfolio favoured intermediate maturity treasury bills.

Originality/value. There is a dearth of literature exploring the performance of active portfolios subject to TE constraints. This work addresses this gap and demonstrates, for the first time, the relative portfolio performance of several standard portfolio choices on the frontier.

DOI: https://doi.org/10.1108/JEFAS-06-2019-0099

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References

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Published

2021-06-01

How to Cite

Hausner, J. F., & van Vuuren, G. (2021). Portfolio performance under tracking error and benchmark volatility constraints. Journal of Economics, Finance and Administrative Science, 26(51), 94–111. Retrieved from https://revistas.esan.edu.pe/index.php/jefas/article/view/145