The Role of Performance and Governance Criteria in Determining the Price of Shares with an Artificial Intelligence-based Approach

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.

Hashemi Kochaksaraei Seyed Mohammad Hasan; DADASHI IMAN; YAHYAZADEHFAR MAHMOOD; Gholamnia Roshan Hamid Reza

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

Journal Paper

Paper Information

Journal: FINANCIAL RESEARCH Year:2020 | Volume:22 | Issue:1 Page(s): 131-148

Download Full-Text

Persian Verion

View:

611

Download:

Cites:

Information Journal Paper

Title

The Role of Performance and Governance Criteria in Determining the Price of Shares with an Artificial Intelligence-based Approach

Author(s)

Hashemi Kochaksaraei Seyed Mohammad Hasan | DADASHI IMAN | YAHYAZADEHFAR MAHMOOD | Gholamnia Roshan Hamid Reza | Issue Writer Certificate

Keywords

Company ValueQ1

Performance CriteriaQ1

corporate governance CriteriaQ1

Machine Learning MethodQ1

Abstract

Objective: The purpose of this research is to explain the price of share using performance variables, management system and audit committee, as well as forecasting the price of share to help decision makers and investors. Methods: For this purpose, the information about 208 listed companies in Tehran Stock Exchange, during 2010-2017, have been extracted and analyzed using the linear and nonlinear method of Gaussian process. Results: Preliminary research results show that Performance Criteria are more capable of explaining stock prices compared to governance criteria. The results also indicate the high power of Machine Learning Methods for predicting the price of companies' stocks. The latter is especially true for the nonlinear Gaussian process, which has also proven to perform better than the CART or the lasso algorithms. Conclusion: Since corporate governance and the audit committee are two governing bodies of the stock exchange in Iran, and the stock market participants are not aware of how they operate, it seems that the performance information content is better for investors than governance measurements. Among the nonfinancial criteria, ownership concentration is the only factor that is able to explain the price of share of the company, and it can be argued that major shareholders have the motivation and ability to supervise the manager and increase the company's performance.

Cites

No record.

References

No record.

Cite

APA: Copy

Hashemi Kochaksaraei, Seyed Mohammad Hasan, DADASHI, IMAN, YAHYAZADEHFAR, MAHMOOD, & Gholamnia Roshan, Hamid Reza. (2020). The Role of Performance and Governance Criteria in Determining the Price of Shares with an Artificial Intelligence-based Approach. FINANCIAL RESEARCH, 22(1 ), 131-148. SID. https://sid.ir/paper/357270/en

Vancouver: Copy

Hashemi Kochaksaraei Seyed Mohammad Hasan, DADASHI IMAN, YAHYAZADEHFAR MAHMOOD, Gholamnia Roshan Hamid Reza. The Role of Performance and Governance Criteria in Determining the Price of Shares with an Artificial Intelligence-based Approach. FINANCIAL RESEARCH[Internet]. 2020;22(1 ):131-148. Available from: https://sid.ir/paper/357270/en

IEEE: Copy

Seyed Mohammad Hasan Hashemi Kochaksaraei, IMAN DADASHI, MAHMOOD YAHYAZADEHFAR, and Hamid Reza Gholamnia Roshan, “The Role of Performance and Governance Criteria in Determining the Price of Shares with an Artificial Intelligence-based Approach,” FINANCIAL RESEARCH, vol. 22, no. 1 , pp. 131–148, 2020, [Online]. Available: https://sid.ir/paper/357270/en

Related Journal Papers