Original Research
Portfolio performance under tracking error and asset weight constraints
Submitted: 24 March 2020 | Published: 12 November 2020
About the author(s)
Michael H. Daly, Department of Risk management, Faculty of Commerce, North-West University, Potchefstroom, South AfricaGary van Vuuren, Centre for Business Mathematics and Informatics, North-West University Potchefstroom, South Africa
Abstract
Orientation: Active portfolio managers must simultaneously maximise excess returns (over benchmarks), limit risk and observe constraints on, for example, tracking errors (TRs), betas and asset weights.
Research purpose: Determining the range of possible risk and returns attainable by such constrained portfolios is of interest to active portfolio managers. Weight restrictions reduce the range of achievable returns. This work demonstrates the magnitude of these reductions.
Motivation for the study: This research installs and augments an approach that ascertains the effect on a TR (active) constrained portfolio in absolute risk–return space. The effects are displayed in risk–return space, demonstrating the impact on such constraints.
Research approach/design and method: A theoretical approach to plot the constant TR frontier was used. Theoretical and quantitative analytical approaches to establish changes in the constant TR frontier on a simulated (but highly stylistic) market portfolios were also employed.
Main findings: Considerable reduction is observed in possible investable portfolios, even for limited asset weight restrictions. This effect is amplified if multiple restrictions are imposed simultaneously, driven by both a reduced area in risk–return space enclosed by the constant TR frontier and changes in the frontier long-axis slope.
Practical/managerial implications: The change in the long-axis slope sign is also a feature of changing economic conditions, thereby acting as an early warning signal with associated ramifications for asset managers.
Contribution/value add: The combined effects on active portfolio performance of TR and asset weight constraints have not been investigated and demonstrated before.
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Crossref Citations
1. Reconciling Tracking Error Volatility and Value-at-Risk in Active Portfolio Management: A New Frontier
Riccardo Lucchetti, Mihaela Nicolau, Giulio Palomba, Luca Riccetti
Computational Economics year: 2024
doi: 10.1007/s10614-024-10684-4