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Index tracking and enhanced indexation using a parametric approach

Author

Listed:
  • Chavez-Bedoya, Luis

    (Universidad Esan)

  • Birge, John

    (University of Chicago Booth School of Business)

Abstract

Based on the work of Brandt et al. (2009), we formulate an index tracking and enhanced indexation model using a parametric approach. The portfolio weights are modeled as functions of assets characteristics and similarity measures of the assets with the index to track. This approach permits handling nonlinear and nonconvex objectives functions that are difficult to incorporate in existing index tracking and enhanced indexation models. Additionally, this approach gives the investor more information about the portfolio holdings since the optimization is performed over portfolio strategies. Finally, an empirical implementation and an analysis of selected characteristics are presented for the S&P500 index.

Suggested Citation

  • Chavez-Bedoya, Luis & Birge, John, 2014. "Index tracking and enhanced indexation using a parametric approach," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 19(36), pages 19-44.
  • Handle: RePEc:ris:joefas:0070
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    Citations

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    Cited by:

    1. Ruchika Sehgal & Aparna Mehra, 2023. "Quantile Regression Based Enhanced Indexing with Portfolio Rebalancing," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 721-742, September.
    2. Wu, Dexiang & Kwon, Roy H. & Costa, Giorgio, 2017. "A constrained cluster-based approach for tracking the S&P 500 index," International Journal of Production Economics, Elsevier, vol. 193(C), pages 222-243.
    3. Zhiping Chen & Shen Peng & Abdel Lisser, 2020. "A sparse chance constrained portfolio selection model with multiple constraints," Journal of Global Optimization, Springer, vol. 77(4), pages 825-852, August.
    4. Li, Xuepeng & Xu, Fengmin & Jing, Kui, 2022. "Robust enhanced indexation with ESG: An empirical study in the Chinese Stock Market," Economic Modelling, Elsevier, vol. 107(C).
    5. Sant’Anna, Leonardo Riegel & Caldeira, João Frois & Filomena, Tiago Pascoal, 2020. "Lasso-based index tracking and statistical arbitrage long-short strategies," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

    More about this item

    Keywords

    Index tracking; Enhanced indexation; Parametric;
    All these keywords.

    JEL classification:

    • A00 - General Economics and Teaching - - General - - - General

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