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How likely is it to beat the target at different investment horizons: an approach using compositional data in strategic portfolios

Author

Listed:
  • Fernando Vega-Gámez

    (Universidad de Alcalá
    EDM Gestión SGIIC, Partner-Director)

  • Pablo J. Alonso-González

    (Universidad de Alcalá)

Abstract

Strategic portfolios are asset combinations designed to achieve investor objectives. A unique feature of these investments is that portfolios must be rebalanced periodically to maintain the initially established structure. This paper introduces a methodology to estimate the probability of not exceeding a specific profitability target with this type of portfolio to determine if this kind of build portfolio makes obtaining certain profitability targets easy. Portfolios with a specific distribution of fixed-income and equity securities were randomly replicated and their performance was studied over different time horizons. Daily data from 2004 to 2021 was used. Since the sum of all asset weights invariably equals the unit, the original data were transformed using the compositional data methodology. With these transformed data, the probabilities were estimated for each analyzed portfolio. The study also performed a sensitivity analysis of the estimated probabilities, modifying the weight of specific assets in the portfolio.

Suggested Citation

  • Fernando Vega-Gámez & Pablo J. Alonso-González, 2024. "How likely is it to beat the target at different investment horizons: an approach using compositional data in strategic portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    • Handle: RePEc:spr:fininn:v:10:y:2024:i:1:d:10.1186_s40854-023-00601-3
    DOI: 10.1186/s40854-023-00601-3
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    References listed on IDEAS

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    1. Sumit Agarwal & John C. Driscoll & Xavier Gabaix & David Laibson, 2007. "The Age of Reason: Financial Decisions Over the Lifecycle," NBER Working Papers 13191, National Bureau of Economic Research, Inc.
    2. Roman Mestre & Michel Terraza, 2019. "Time–frequency varying estimations: comparison of discrete and continuous wavelets in the market line framework," Post-Print hal-04058291, HAL.
    3. Boonen, Tim J. & Guillen, Montserrat & Santolino, Miguel, 2019. "Forecasting compositional risk allocations," Insurance: Mathematics and Economics, Elsevier, vol. 84(C), pages 79-86.
    4. Salvador Linares-Mustar'os & Maria `Angels Farreras-Noguer & N'uria Arimany-Serrat & Germ`a Coenders, 2022. "New financial ratios based on the compositional data methodology," Papers 2210.11138, arXiv.org.
    5. Antonios K. Alexandridis & Mohammad S. Hasan, 2020. "Global financial crisis and multiscale systematic risk: Evidence from selected European stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 518-546, October.
    6. Chueh-Yung Tsao, 2010. "Portfolio selection based on the mean-VaR efficient frontier," Quantitative Finance, Taylor & Francis Journals, vol. 10(8), pages 931-945.
    7. Ramazan Genay & Faruk Seļuk & Brandon Whitcher, 2003. "Systematic risk and timescales," Quantitative Finance, Taylor & Francis Journals, vol. 3(2), pages 108-116.
    8. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2005. "Multiscale systematic risk," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 55-70, February.
    9. Roman Mestre, 2021. "A wavelet approach of investing behaviors and their effects on risk exposures," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    10. Hiroshi Konno & Hiroaki Yamazaki, 1991. "Mean-Absolute Deviation Portfolio Optimization Model and Its Applications to Tokyo Stock Market," Management Science, INFORMS, vol. 37(5), pages 519-531, May.
    11. Anna Maria Fiori & Francesco Porro, 2023. "A compositional analysis of systemic risk in European financial institutions," Annals of Finance, Springer, vol. 19(3), pages 325-354, September.
    12. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    13. Hoevenaars, Roy P.M.M. & Molenaar, Roderick D.J. & Schotman, Peter C. & Steenkamp, Tom B.M., 2008. "Strategic asset allocation with liabilities: Beyond stocks and bonds," Journal of Economic Dynamics and Control, Elsevier, vol. 32(9), pages 2939-2970, September.
    14. Alexander Klos & Elke U. Weber & Martin Weber, 2005. "Investment Decisions and Time Horizon: Risk Perception and Risk Behavior in Repeated Gambles," Management Science, INFORMS, vol. 51(12), pages 1777-1790, December.
    15. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, February.
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