Abstract
In this paper, the performance of portfolios consisting of stocks selected with the recently proposed expected utility, entropy and variance (EU–EV) risk model is analysed. The portfolios were constructed using data of the PSI 20 index, from January 2019 to December 2020, by reducing the number of stock components to the half with the EU–EV risk model. The efficiency of these portfolios in terms of the mean–variance model was shown to be approximately equal to the efficiency of portfolios obtained from the whole set of stocks. The aim is to evaluate the performance of the constructed portfolios, by comparing their in-sample and out-of-sample results with those of the benchmark. For that purpose, cumulative returns in the in-sample period from January 2019 to December 2020 and in the out-of-sample period from January 2021 to December 2022, considering both an one-year and a two-year time horizon, as well as different performance metrics, such as Sharpe ratio, Sortino ratio, Beta and Alpha, are analysed. The results reveal that the portfolios constructed with the EU–EV risk model outperform the benchmark portfolio in the given periods, where a better performance was obtained in the one-year out-of-sample period. These results suggest that the strategy of constructing portfolios using the best ranked stocks according to the EU–EV risk model can be useful for short-term investment objectives.
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Acknowledgements
IB thanks support from FCT (“Fundação para a Ciência e a Tecnologia”) through the Projects UIDB/00013/2020 and UIDP/00013/2020.
GJM acknowledges the financial support from FCT through the Project UIDB/04650/2020.
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Brito, I., Machado, G.J. (2023). Performance Evaluation of Portfolio Stocks Selected with the EU–EV Risk Model. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14105. Springer, Cham. https://doi.org/10.1007/978-3-031-37108-0_5
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