Examining Financial Performance and Corporate Governance in Tehran Stock Exchange: A Hybrid Machine Learning and Data Envelopment Analysis Approach
عنوان مقاله: Examining Financial Performance and Corporate Governance in Tehran Stock Exchange: A Hybrid Machine Learning and Data Envelopment Analysis Approach
شناسه ملی مقاله: JR_AMFA-9-3_011
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_AMFA-9-3_011
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Pooneh Noparvar Saravi - Master's student in Accounting, Rozbahan Higher Education Institute, Mazandaran, Iran
Morteza Bagheri - Master's student in Accounting, Shahid Beheshti University, Tehran, Iran,
Seyed Sadegh Hadian - Master's student in Accounting with a specialization in Auditing, Faculty of Administrative and Economic Sciences, Ferdowsi University, Mashhad, Iran
خلاصه مقاله:
کلمات کلیدی:
Pooneh Noparvar Saravi - Master's student in Accounting, Rozbahan Higher Education Institute, Mazandaran, Iran
Morteza Bagheri - Master's student in Accounting, Shahid Beheshti University, Tehran, Iran,
Seyed Sadegh Hadian - Master's student in Accounting with a specialization in Auditing, Faculty of Administrative and Economic Sciences, Ferdowsi University, Mashhad, Iran
Financial Performance
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/2056954/