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Best portfolio management strategies for synthetic and real assets

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  • Gruszka, Jarosław
  • Szwabiński, Janusz

Abstract

Managing investment portfolios is an old and well know problem in multiple fields including financial mathematics and financial engineering as well as econometrics and econophysics. Multiple different concepts and theories were used so far to describe methods of handling with financial assets, including differential equations, stochastic calculus and advanced statistics. In this paper, using a set of tools from the probability theory, various strategies of building financial portfolios are analysed in different market conditions. A special attention is given to several realisations of a so called balanced portfolio, which is rooted in the natural “buy-low-sell-high” principle. Results show that there is no universal strategy, because they perform differently in different circumstances (e.g. for varying transaction costs). Moreover, the planned time of investment may also have a significant impact on the profitability of certain strategies. All methods have been tested with both simulated trajectories and real data from the Polish stock market.

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  • Gruszka, Jarosław & Szwabiński, Janusz, 2020. "Best portfolio management strategies for synthetic and real assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    • Handle: RePEc:eee:phsmap:v:539:y:2020:i:c:s0378437119316656
    DOI: 10.1016/j.physa.2019.122938
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    References listed on IDEAS

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    1. Gruszka, Jarosław & Szwabiński, Janusz, 2021. "Advanced strategies of portfolio management in the Heston market model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).

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