Financial Performance Prediction System in Industrial Companies through Data Mining Algorithms
With the emergence of new businesses leading to the complicated and changing business environments, industrial managers and investors need tools and mechanisms to acquire a more clarified view of their business in different financial aspects in the future. The financial status of industrial firms ha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2016-02-01
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| Series: | مطالعات مدیریت کسب و کار هوشمند |
| Online Access: | https://ims.atu.ac.ir/article_5146_cbb812db7715f765a678bf4a09de14aa.pdf |
| _version_ | 1797386136348262400 |
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| author | Babak Sohrabi Iman Raeesi Vanani Babak Bootorabi |
| author_facet | Babak Sohrabi Iman Raeesi Vanani Babak Bootorabi |
| author_sort | Babak Sohrabi |
| collection | DOAJ |
| description | With the emergence of new businesses leading to the complicated and changing business environments, industrial managers and investors need tools and mechanisms to acquire a more clarified view of their business in different financial aspects in the future. The financial status of industrial firms has always had a significant analytical role and the evaluation of profitability has been conducted through the analysis of financial indicators that appear as key performance measures. In this regard, financial statements provides the stakeholders with accurate organizational status in a specific period of time. In the current research, the researchers have attempted to utilize the financial ratios as well as data mining algorithms so as to design a system that accurately predicts the net profit based on the previous performance of firms and accordingly, providing an appropriate performance analysis. The designed neural network model predicts the profit through the detection of relationships among financial ratios and previous profitability of the industrial firm. |
| first_indexed | 2024-03-08T22:04:37Z |
| format | Article |
| id | doaj.art-ca194b4aa8904e18b514e745929596cd |
| institution | Directory Open Access Journal |
| issn | 2821-0964 2821-0816 |
| language | fas |
| last_indexed | 2024-03-08T22:04:37Z |
| publishDate | 2016-02-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات مدیریت کسب و کار هوشمند |
| spelling | doaj.art-ca194b4aa8904e18b514e745929596cd2023-12-19T10:32:30ZfasAllameh Tabataba'i University Pressمطالعات مدیریت کسب و کار هوشمند2821-09642821-08162016-02-0141412110.22054/ims.2016.51465146Financial Performance Prediction System in Industrial Companies through Data Mining AlgorithmsBabak Sohrabi0Iman Raeesi Vanani1Babak Bootorabi2Professor, Faculty of Management, University of Tehran, Tehran, Iran Assistant Professor, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.MSc of Information Technology Management, University of Tehran, Tehran, IranWith the emergence of new businesses leading to the complicated and changing business environments, industrial managers and investors need tools and mechanisms to acquire a more clarified view of their business in different financial aspects in the future. The financial status of industrial firms has always had a significant analytical role and the evaluation of profitability has been conducted through the analysis of financial indicators that appear as key performance measures. In this regard, financial statements provides the stakeholders with accurate organizational status in a specific period of time. In the current research, the researchers have attempted to utilize the financial ratios as well as data mining algorithms so as to design a system that accurately predicts the net profit based on the previous performance of firms and accordingly, providing an appropriate performance analysis. The designed neural network model predicts the profit through the detection of relationships among financial ratios and previous profitability of the industrial firm.https://ims.atu.ac.ir/article_5146_cbb812db7715f765a678bf4a09de14aa.pdf |
| spellingShingle | Babak Sohrabi Iman Raeesi Vanani Babak Bootorabi Financial Performance Prediction System in Industrial Companies through Data Mining Algorithms مطالعات مدیریت کسب و کار هوشمند |
| title | Financial Performance Prediction System in Industrial Companies through Data Mining Algorithms |
| title_full | Financial Performance Prediction System in Industrial Companies through Data Mining Algorithms |
| title_fullStr | Financial Performance Prediction System in Industrial Companies through Data Mining Algorithms |
| title_full_unstemmed | Financial Performance Prediction System in Industrial Companies through Data Mining Algorithms |
| title_short | Financial Performance Prediction System in Industrial Companies through Data Mining Algorithms |
| title_sort | financial performance prediction system in industrial companies through data mining algorithms |
| url | https://ims.atu.ac.ir/article_5146_cbb812db7715f765a678bf4a09de14aa.pdf |
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