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

Yıl 2017, Cilt: 7 Sayı: 3, 119 - 127, 01.09.2017

Gholamhossein Mahdavi Mohammad Sadeghzadeh Maharluie Ahmad Shokrolahi

Öz

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.

Anahtar Kelimeler

Performance Artificial Neural Networks Tehran Stock Exchange

Yıl 2017, Cilt: 7 Sayı: 3, 119 - 127, 01.09.2017

Gholamhossein Mahdavi Mohammad Sadeghzadeh Maharluie Ahmad Shokrolahi

Öz

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Ayrıntılar

Diğer ID JA32ZD48AP
Bölüm Araştırma Makalesi
Yazarlar

Gholamhossein Mahdavi Bu kişi benim

Mohammad Sadeghzadeh Maharluie Bu kişi benim

Ahmad Shokrolahi Bu kişi benim

Yayımlanma Tarihi 1 Eylül 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 7 Sayı: 3

Kaynak Göster

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. Eylül 2017;7(3):119-127.
Chicago Mahdavi, Gholamhossein, Mohammad Sadeghzadeh Maharluie, ve 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, sy. 3 (Eylül 2017): 119-27.
EndNote Mahdavi G, Maharluie MS, Shokrolahi A (01 Eylül 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, ve A. Shokrolahi, “The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants”, IJEFI, c. 7, sy. 3, ss. 119–127, 2017.
ISNAD Mahdavi, Gholamhossein vd. “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 (Eylül 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 vd. “The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants”. International Journal of Economics and Financial Issues, c. 7, sy. 3, 2017, ss. 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.