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Index tracking with constraint aggregation

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  • Nesri-super-˙n Okay
  • Uğur Akman

Abstract

A generic index tracking (IT) problem is formulated and solved using a constraint aggregation (CA) technique for the first time. This technique makes the number of constraints independent of the cardinal of the universe of assets and enables the handling of large IT problems with one constraint only.

Suggested Citation

  • Nesri-super-˙n Okay & Uğur Akman, 2003. "Index tracking with constraint aggregation," Applied Economics Letters, Taylor & Francis Journals, vol. 10(14), pages 913-916.
  • Handle: RePEc:taf:apeclt:v:10:y:2003:i:14:p:913-916
    DOI: 10.1080/1350485032000158636
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    References listed on IDEAS

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    1. Beasley, J. E. & Meade, N. & Chang, T. -J., 2003. "An evolutionary heuristic for the index tracking problem," European Journal of Operational Research, Elsevier, vol. 148(3), pages 621-643, August.
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    Cited by:

    1. Liang-chuan Wu & I-chan Tsai, 2014. "Three fuzzy goal programming models for index portfolios," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(8), pages 1155-1169, August.
    2. Michael Hanke & Klaus Schredelseker, 2010. "Index funds should be expected to underperform the index," Applied Economics Letters, Taylor & Francis Journals, vol. 17(10), pages 991-994.
    3. Canakgoz, N.A. & Beasley, J.E., 2009. "Mixed-integer programming approaches for index tracking and enhanced indexation," European Journal of Operational Research, Elsevier, vol. 196(1), pages 384-399, July.

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