• Media type: E-Book
  • Title: Average Portfolio Optimization Using Multi-Layer Neural Networks With Risk Consideration
  • Contributor: Dehghani, Farbod [VerfasserIn]; Larijani, Ata [VerfasserIn]
  • imprint: [S.l.]: SSRN, [2023]
  • Extent: 1 Online-Ressource (14 p)
  • Language: English
  • DOI: 10.2139/ssrn.4436648
  • Identifier:
  • Keywords: Optimization ; portfolio ; neural network ; risk
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments May 3, 2023 erstellt
  • Description: Choosing the appropriate risk criterion has always been one of the main challenges for financial and economic analysts. The goal of this research is to optimize the average portfolio using a multi-layer neural network. In this research, a new model of multilayer neural network has been presented, which increases the efficiency of multilayer neural network in the optimization process. In order to check the accuracy level of the proposed algorithm, the algorithm has been compared with some other models and the numerical results indicate that the proposed algorithm has a higher efficiency than the previous ones
  • Access State: Open Access