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A Three-phase Approach to an Enhanced Index-tracking Problem with Real-life Constraints

Author

Listed:
  • O. Strub
  • S. Brandinu
  • D. Lerch
  • J. Schaller
  • N. Trautmann

Abstract

Enhanced index tracking is an emerging strategy for investing money in the stock market and is aimed at achieving outperformance over a given benchmark index while achieving a low tracking error. We consider the problem of rebalancing a portfolio for an enhanced index tracking strategy subject to various real-life constraints, including a lower bound and an upper bound on the expected tracking error. To solve this problem, we propose a three-phase approach consisting of preprocessing, optimization, and learning. In a computational experiment, we applied this approach to rebalance a given portfolio on a monthly basis over a time horizon of 10 years; the data for the S&P 500 benchmark index were provided by the investment company Principal Global Investors. Our approach generated portfolios that were provably close to optimality for all monthly rebalancing decisions. Over the entire horizon of 10 years, the portfolios devised by our approach yielded cumulative returns higher than the S&P 500 index after transaction costs with a moderate tracking error.

Suggested Citation

  • O. Strub & S. Brandinu & D. Lerch & J. Schaller & N. Trautmann, 2019. "A Three-phase Approach to an Enhanced Index-tracking Problem with Real-life Constraints," The Engineering Economist, Taylor & Francis Journals, vol. 64(3), pages 227-253, July.
  • Handle: RePEc:taf:uteexx:v:64:y:2019:i:3:p:227-253
    DOI: 10.1080/0013791X.2019.1619887
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    Cited by:

    1. Tiago Andrade & Nikita Belyak & Andrew Eberhard & Silvio Hamacher & Fabricio Oliveira, 2022. "The p-Lagrangian relaxation for separable nonconvex MIQCQP problems," Journal of Global Optimization, Springer, vol. 84(1), pages 43-76, September.
    2. F. Hooshmand & Z. Rasouli, 2023. "Enhanced index tracking problem: a new optimization model and a sum-of-ratio based algorithm," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1286-1311, September.

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