Impact of Long-term Debt on Overinvestment Problem of Agency
Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: English
View: 158
This Paper With 13 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_AMFA-2-4_007
تاریخ نمایه سازی: 7 مهر 1400
Abstract:
Business units are always faced with investment opportunities and need to make logical decisions on an optimal investment. Indeed, the investment of each business unit should be done with regard to the resource constraints and its effectiveness through the criteria for evaluating the projects including the net present value (NPV). The paper aims to investigate the effect of long-term debt on the overinvestment of agency problem. The present research is applied in terms of its purpose and it is descriptive and correlation in terms of nature. The statistical population of the study was the financial information related to the performance of ۵۴۰ companies listed in Tehran Stock Exchange during ۲۰۱۱ and ۲۰۱۵. ۱۵۲ companies were selected by the systematic elimination sampling. The data collection was carried out using the Tadbir Pardaz and Rahavard-e-Novin software as well as the Research Management, Islamic Studies and Development of Stock Exchange Organization and Stock Exchange Organization websites. The research data are hybrid. The data were analyzed using the F-Limer and Hausman tests using Eviews۹ software. Based on the results, the pre-investment declined by ۳۶% at a significant level less than ۰.۰۵% while increasing long-term debt by ۱%, and the overinvestment reduces ۶۹% by a one-percent increase in the financial leverage.
Keywords:
Authors
Azade Shahab
Department of Econommic Development and Planning, Bu-Ali Sina University, Hamedan, Iran
Mohammad Mohammad Zaheri
Department of Management, Lorestan University, Khoram Abad, Iran
Nahid Asadi
Department of Management, Khomein Branch, Islamic Azad University, Khomein, Iran.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :