Stock portfolio optimization using a combined approach of multi objective grey wolf optimizer and machine learning preselection methods

HIGHLIGHTS

  • who: Preselection Methods and collaborators from the Department Financial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran have published the research work: Stock Portfolio Optimization Using a Combined Approach of Multi Objective Grey Wolf Optimizer and Machine Learning Preselection Methods, in the Journal: Computational Intelligence and Neuroscience of 29/08/2022
  • what: The aim of this section is to provide a model to increase the rate of return on the stock portfolio and reduce investment risk. The aim is to determine the percentage of investment in each company (Wi, i ∈ m). In this . . .

     

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