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On the application of cointegration analysis in enhanced indexing

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  • Nikolaos S. Thomaidis

Abstract

We investigate the application of cointegration techniques in designing trading portfolios that outperform a market benchmark. Of particular interest is the situation of enhanced indexation with incomplete portfolios, that is, by imposing a limit on the maximum number of assets included in the portfolio. We present a technique for solving cardinality-constrained portfolio selection problems using cointegration analysis. We investigate the empirical performance of cointegration-based trading strategies in the context of benchmarking portfolios relative to a common stock market index.

Suggested Citation

  • Nikolaos S. Thomaidis, 2013. "On the application of cointegration analysis in enhanced indexing," Applied Economics Letters, Taylor & Francis Journals, vol. 20(4), pages 391-396, March.
    • Handle: RePEc:taf:apeclt:v:20:y:2013:i:4:p:391-396
    DOI: 10.1080/13504851.2012.705420
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    References listed on IDEAS

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    1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
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    Cited by:

    1. Jun Nakayama & Daisuke Yokouchi, 2018. "Applying Time Series Decomposition to Construct Index-Tracking Portfolio," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 25(4), pages 341-352, December.
    2. Sant’Anna, Leonardo R. & Filomena, Tiago P. & Caldeira, João F., 2017. "Index tracking and enhanced indexing using cointegration and correlation with endogenous portfolio selection," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 146-157.

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