The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants
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 lite...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EconJournals
2017-09-01
|
| Series: | International Journal of Economics and Financial Issues |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/ijefi/issue/32021/354209?publisher=http-www-cag-edu-tr-ilhan-ozturk |
| _version_ | 1797914566740410368 |
|---|---|
| author | Gholamhossein Mahdavi Mohammad Sadeghzadeh Maharluie Ahmad Shokrolahi |
| author_facet | Gholamhossein Mahdavi Mohammad Sadeghzadeh Maharluie Ahmad Shokrolahi |
| author_sort | Gholamhossein Mahdavi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T12:28:34Z |
| format | Article |
| id | doaj.art-35c22438765a48a1b94385fa07e7f14d |
| institution | Directory Open Access Journal |
| issn | 2146-4138 |
| language | English |
| last_indexed | 2024-04-10T12:28:34Z |
| publishDate | 2017-09-01 |
| publisher | EconJournals |
| record_format | Article |
| series | International Journal of Economics and Financial Issues |
| spelling | doaj.art-35c22438765a48a1b94385fa07e7f14d2023-02-15T16:15:03ZengEconJournalsInternational Journal of Economics and Financial Issues2146-41382017-09-01731191271032The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance DeterminantsGholamhossein MahdaviMohammad Sadeghzadeh MaharluieAhmad ShokrolahiPerformance 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.https://dergipark.org.tr/tr/pub/ijefi/issue/32021/354209?publisher=http-www-cag-edu-tr-ilhan-ozturkperformance artificial neural networks tehran stock exchange |
| spellingShingle | Gholamhossein Mahdavi Mohammad Sadeghzadeh Maharluie 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 performance artificial neural networks tehran stock exchange |
| title | The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants |
| title_full | The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants |
| title_fullStr | The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants |
| title_full_unstemmed | The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants |
| title_short | The Use of Artificial Neural Networks for Quantifying the Relative Importance of the Firms’ Performance Determinants |
| title_sort | use of artificial neural networks for quantifying the relative importance of the firms performance determinants |
| topic | performance artificial neural networks tehran stock exchange |
| url | https://dergipark.org.tr/tr/pub/ijefi/issue/32021/354209?publisher=http-www-cag-edu-tr-ilhan-ozturk |
| work_keys_str_mv | AT gholamhosseinmahdavi theuseofartificialneuralnetworksforquantifyingtherelativeimportanceofthefirmsperformancedeterminants AT mohammadsadeghzadehmaharluie theuseofartificialneuralnetworksforquantifyingtherelativeimportanceofthefirmsperformancedeterminants AT ahmadshokrolahi theuseofartificialneuralnetworksforquantifyingtherelativeimportanceofthefirmsperformancedeterminants AT gholamhosseinmahdavi useofartificialneuralnetworksforquantifyingtherelativeimportanceofthefirmsperformancedeterminants AT mohammadsadeghzadehmaharluie useofartificialneuralnetworksforquantifyingtherelativeimportanceofthefirmsperformancedeterminants AT ahmadshokrolahi useofartificialneuralnetworksforquantifyingtherelativeimportanceofthefirmsperformancedeterminants |