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Set-Portfolio Selection with the Use of Market Stochastic Bounds

Author

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  • Sergio Ortobelli Lozza
  • Enrico Angelelli
  • Daniele Toninelli

Abstract

This paper proposes an ex post comparison of portfolio selection strategies. These strategies are applied to a set of assets, preselected among about 10,000 stocks on the global market. The preselection criteria consider the joint Markovian behavior of the returns and their association with the market stochastic bounds. Furthermore, we examine the performance and the impact of different strategies that use or do not use the preselection criteria. Finally, we compare the ex post wealth obtained with the optimization of several reward-risk performance functionals that use the stochastic bounds of the preselected assets.

Suggested Citation

  • Sergio Ortobelli Lozza & Enrico Angelelli & Daniele Toninelli, 2011. "Set-Portfolio Selection with the Use of Market Stochastic Bounds," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 5-24, November.
    • Handle: RePEc:mes:emfitr:v:47:y:2011:i:0s5:p:5-24
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    1. Sergio Ortobelli & Noureddine Kouaissah & Tomáš Tichý, 2017. "On the impact of conditional expectation estimators in portfolio theory," Computational Management Science, Springer, vol. 14(4), pages 535-557, October.
    2. Billio, Monica & Caporin, Massimiliano & Costola, Michele, 2015. "Backward/forward optimal combination of performance measures for equity screening," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 63-83.
    3. Sergio Ortobelli Lozza & Enrico Angelelli & Alda Ndoci, 2019. "Timing portfolio strategies with exponential Lévy processes," Computational Management Science, Springer, vol. 16(1), pages 97-127, February.
    4. Sergio Ortobelli & Tomáš Tichý, 2015. "On the impact of semidefinite positive correlation measures in portfolio theory," Annals of Operations Research, Springer, vol. 235(1), pages 625-652, December.
    5. Sergio Ortobelli & Sebastiano Vitali & Marco Cassader & Tomáš Tichý, 2018. "Portfolio selection strategy for fixed income markets with immunization on average," Annals of Operations Research, Springer, vol. 260(1), pages 395-415, January.
    6. Nijolė MAKNICKIENĖ & Jelena STANKEVIČIENĖ & Algirdas MAKNICKAS, 2020. "Comparison of Forex Market Forecasting Tools Based on Evolino Ensemble and Technical Analysis Indicators," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 134-148, September.
    7. Mohammad Mehdi Hosseinzadeh & Sergio Ortobelli Lozza & Farhad Hosseinzadeh Lotfi & Vittorio Moriggia, 2023. "Portfolio optimization with asset preselection using data envelopment analysis," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 287-310, March.
    8. Hossein Ghanbari & Sina Tavakoli & Mostafa Shabani & Emran Mohammadi & Seyed Jafar Sadjadi & Ronald Ravinesh Kumar, 2025. "A two-stage framework for enhancing crsyptocurrency portfolio performance: Integrating credibilistic CVaR criterion with a novel asset preselection approach," PLOS ONE, Public Library of Science, vol. 20(7), pages 1-45, July.

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