Providing a Model for Selecting the Optimal Stock Portfolio Using Salp Swarm Algorithm and Multilayer Perceptron Neural Networks

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HOSEINI SEYED ALI; pouramani zahra; JAHANSHAD AZITA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download Full-Text

Persian Verion

View:

483

Download:

Cites:

Information Journal Paper

Title

Providing a Model for Selecting the Optimal Stock Portfolio Using Salp Swarm Algorithm and Multilayer Perceptron Neural Networks

Author(s)

HOSEINI SEYED ALI | pouramani zahra | JAHANSHAD AZITA | Issue Writer Certificate

Keywords

Optimal Stock PortfolioQ1

Multilayer Perceptron Neural NetworksQ1

Salp Swarm AlgorithmQ1

Abstract

The most important courses are the ones that are taught and the one that is taught and the ones that are taught are the ones that work for each other, in order to make the most profit. In our research, it can be seen that all sorts of solutions are one of the solutions, but the concept of skewness should be considered in the future as well. In the first twenty-first of the first fifty years of 2019, the stock market is given as an example. . Evolution is also a model in which the future potential of stocks is predicted by the multilayer perceptron neural network with several scenarios, including the prediction of the stock price time series method itself or the prediction of the impact of factors influencing stock price changes. The results show that the models presented in this article, compared to traditional methods, provide investors with and achieve the optimal formation of the portfolio by selecting the appropriate shares of companies.

Cites

No record.

References

No record.

Cite

APA: Copy

HOSEINI, SEYED ALI, pouramani, zahra, & JAHANSHAD, AZITA. (2020). Providing a Model for Selecting the Optimal Stock Portfolio Using Salp Swarm Algorithm and Multilayer Perceptron Neural Networks. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 11(44 ), 479-503. SID. https://sid.ir/paper/406698/en

Vancouver: Copy

HOSEINI SEYED ALI, pouramani zahra, JAHANSHAD AZITA. Providing a Model for Selecting the Optimal Stock Portfolio Using Salp Swarm Algorithm and Multilayer Perceptron Neural Networks. FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2020;11(44 ):479-503. Available from: https://sid.ir/paper/406698/en

IEEE: Copy

SEYED ALI HOSEINI, zahra pouramani, and AZITA JAHANSHAD, “Providing a Model for Selecting the Optimal Stock Portfolio Using Salp Swarm Algorithm and Multilayer Perceptron Neural Networks,” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 11, no. 44 , pp. 479–503, 2020, [Online]. Available: https://sid.ir/paper/406698/en

Related Journal Papers