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No arbitrage and a linear portfolio selection model

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Author Info

  • Renato Bruni

    ()
    (Università di Roma “Sapienza”, Dip. di Ingegneria Informatica, Automatica e Gestionale)

  • Francesco Cesarone

    ()
    (Università degli Studi Roma Tre, Dip. di Studi Aziendali)

  • Andrea Scozzari

    ()
    (Università degli Studi “Niccolò Cusano” - Telematica, Roma, Facoltà di Economia)

  • Fabio Tardella

    ()
    (Università di Roma “Sapienza”, Dip. Metodi e Modelli per l''Economia, il Territorio e la Finanza)

Abstract

We propose a linear bi-objective optimization approach to the problem of finding a portfolio that maximizes average excess return with respect to a benchmark index while minimizing underperformance over a learning period. We establish some theoretical results linking classical No Arbitrage conditions to the existence of a feasible portfolio for our model that strictly outperforms the index. Empirical analyses on publicly available real-world financial datasets show the effectiveness of the model and confirm the described theoretical results.

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File URL: http://www.accessecon.com/Pubs/EB/2013/Volume33/EB-13-V33-I2-P117.pdf
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Bibliographic Info

Article provided by AccessEcon in its journal Economics Bulletin.

Volume (Year): 33 (2013)
Issue (Month): 2 ()
Pages: 1247-1258

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Handle: RePEc:ebl:ecbull:eb-13-00221

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Related research

Keywords: Enhanced Index Tracking; Asset Management; Portfolio Selection; No Arbitrage; Linear Programming;

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  1. Renato Bruni & Francesco Cesarone & Andrea Scozzari & Fabio Tardella, 2012. "A new stochastic dominance approach to enhanced index tracking problems," Economics Bulletin, AccessEcon, vol. 32(4), pages 3460-3470.
  2. Carol Alexander & Anca Dimitriu, 2005. "Indexing, cointegration and equity market regimes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 213-231.
  3. Andrea Scozzari & Fabio Tardella & Sandra Paterlini & Thiemo Krink, 2012. "Exact and Heuristic Approaches for the Index Tracking Problem with UCITS Constraints," Department of Economics 0685, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  4. 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.
  5. Dose, Christian & Cincotti, Silvano, 2005. "Clustering of financial time series with application to index and enhanced index tracking portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 145-151.
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