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

Gholamhossein Mahdavi; Mohammad Sadeghzadeh Maharluie; Ahmad Shokrolahi

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

Year 2017, Volume: 7 Issue: 3, 119 - 127, 01.09.2017

Gholamhossein Mahdavi Mohammad Sadeghzadeh Maharluie Ahmad Shokrolahi

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

Year 2017, Volume: 7 Issue: 3, 119 - 127, 01.09.2017

Gholamhossein Mahdavi Mohammad Sadeghzadeh Maharluie Ahmad Shokrolahi

Abstract

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Details

Other ID	JA32ZD48AP
Journal Section	Research Article
Authors	Gholamhossein Mahdavi This is me Mohammad Sadeghzadeh Maharluie This is me Ahmad Shokrolahi This is me
Publication Date	September 1, 2017
Published in Issue	Year 2017 Volume: 7 Issue: 3

Cite

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.
AMA	Mahdavi G, Maharluie MS, Shokrolahi A. The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants. IJEFI. September 2017;7(3):119-127.
Chicago	Mahdavi, Gholamhossein, Mohammad Sadeghzadeh Maharluie, and Ahmad Shokrolahi. “The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants”. International Journal of Economics and Financial Issues 7, no. 3 (September 2017): 119-27.
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	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, 2017.
ISNAD	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 7/3 (September 2017), 119-127.
JAMA	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, 2017, pp. 119-27.
Vancouver	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):119-27.