The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants

Gholamhossein Mahdavi; Mohammad Sadeghzadeh Maharluie; Ahmad Shokrolahi

EN

The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants

Abstract

Performance is the outcome of all plans and decisions of a company. It shows the ways companies are governed. Consequently, determining the relative importance of factors influencing the Performance is important. Therefore, in this study, seven independent variables were determined based on the literature. Then, the significant variables were chosen using the Pearson’s correlation test. Finally, an artificial neural network was designed to investigate the relative importance of the determinants. In total, 1340 company-year data were collected from Tehran Stock Exchange (TSE) from 2001 to 2010. The research results revealed that institutional ownership concentration is the most important factor which is followed by state ownership, and managerial stock ownership. Debt policy and firm size are ranked in lower position.

Keywords

Performance, Artificial Neural Networks, Tehran Stock Exchange

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Gholamhossein Mahdavi This is me

Mohammad Sadeghzadeh Maharluie This is me

Ahmad Shokrolahi This is me

Publication Date

September 1, 2017

Submission Date

September 1, 2017

Acceptance Date

-

Published in Issue

Year 2017 Volume: 7 Number: 3

IZ

https://izlik.org/JA64ML52KS

Cite

RIS / Bibtex

APA

Mahdavi, G., Maharluie, M. S., & Shokrolahi, A. (2017). The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants. International Journal of Economics and Financial Issues, 7(3), 119-127. https://izlik.org/JA64ML52KS

AMA

1.Mahdavi G, Maharluie MS, Shokrolahi A. The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants. IJEFI. 2017;7(3):119-127. https://izlik.org/JA64ML52KS

Chicago

Mahdavi, Gholamhossein, Mohammad Sadeghzadeh Maharluie, and Ahmad Shokrolahi. 2017. “The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants”. International Journal of Economics and Financial Issues 7 (3): 119-27. https://izlik.org/JA64ML52KS.

EndNote

Mahdavi G, Maharluie MS, Shokrolahi A (September 1, 2017) The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants. International Journal of Economics and Financial Issues 7 3 119–127.

IEEE

[1]G. Mahdavi, M. S. Maharluie, and A. Shokrolahi, “The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants”, IJEFI, vol. 7, no. 3, pp. 119–127, Sept. 2017, [Online]. Available: https://izlik.org/JA64ML52KS

ISNAD

Mahdavi, Gholamhossein - Maharluie, Mohammad Sadeghzadeh - Shokrolahi, Ahmad. “The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants”. International Journal of Economics and Financial Issues 7/3 (September 1, 2017): 119-127. https://izlik.org/JA64ML52KS.

JAMA

1.Mahdavi G, Maharluie MS, Shokrolahi A. The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants. IJEFI. 2017;7:119–127.

MLA

Mahdavi, Gholamhossein, et al. “The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants”. International Journal of Economics and Financial Issues, vol. 7, no. 3, Sept. 2017, pp. 119-27, https://izlik.org/JA64ML52KS.

Vancouver

1.Gholamhossein Mahdavi, Mohammad Sadeghzadeh Maharluie, Ahmad Shokrolahi. The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants. IJEFI [Internet]. 2017 Sep. 1;7(3):119-27. Available from: https://izlik.org/JA64ML52KS