
doi: 10.3390/math12172729
A novel method of portfolio selection is provided with further higher moments, filtering with fundamentals in intelligent computing resources. The Evolutional Portfolio Optimization System (EPOS) evaluates unobtrusive relations from a vast amount of accounting and financial data, excluding hoax and noise, to select the optimal portfolio. The fundamental question of Free Will, limited in investment selection, is answered through a new philosophical approach.
time-lag recurrent networks, recurrent networks, Jordan–Elman networks, QA1-939, MLP, Isoelastic Utility Function, higher moments, Mathematics
time-lag recurrent networks, recurrent networks, Jordan–Elman networks, QA1-939, MLP, Isoelastic Utility Function, higher moments, Mathematics
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