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

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

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Gholamhossein Mahdavi Bu kişi benim

Mohammad Sadeghzadeh Maharluie Bu kişi benim

Ahmad Shokrolahi Bu kişi benim

Yayımlanma Tarihi

1 Eylül 2017

Gönderilme Tarihi

1 Eylül 2017

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2017 Cilt: 7 Sayı: 3

IZ

https://izlik.org/JA64ML52KS

Kaynak Göster

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, ve 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 (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

[1]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, Eyl. 2017, [çevrimiçi]. Erişim adresi: 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 (01 Eylül 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, 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, Eylül 2017, ss. 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]. 01 Eylül 2017;7(3):119-27. Erişim adresi: https://izlik.org/JA64ML52KS