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Best Portfolio Management Strategies For Synthetic and Real Assets

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  • Jaros{l}aw Gruszka
  • Janusz Szwabi'nski

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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  • Jaros{l}aw Gruszka & Janusz Szwabi'nski, 2019. "Best Portfolio Management Strategies For Synthetic and Real Assets," Papers 1904.10250, arXiv.org, revised Sep 2019.
    • Handle: RePEc:arx:papers:1904.10250
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    1. Cesari, Riccardo & Cremonini, David, 2003. "Benchmarking, portfolio insurance and technical analysis: a Monte Carlo comparison of dynamic strategies of asset allocation," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 987-1011, April.
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