Improvement of Periodic Rates in the Average Internal Rate of Return Method
Publish place: Mathematics and Computational Sciences، Vol: 3، Issue: 4
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
View: 169
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JMCS-3-4_003
تاریخ نمایه سازی: 26 فروردین 1402
Abstract:
One of the most important decisions in project appraisal and enterprise economic policy under constrained and inconsistent circumstances is to select an option among several others. If all variables can be measured by a measure called money, methods such as Internal Rate of Return (IRR) and Average Internal Rate of Return (AIRR) can be used. The AIRR method is a mode developed by the IRR method. However, this method (AIRR) may occasionally result in unrealistic (huge) periodic rates. This article adopted a simple technique to address this problem. Finally, the technique is further explained by solving several numerical examples. According to the results, the proposed method led to distribution of large periodic rates over other periodic rates producing slightly unrealistic results. The results of research indicated that the proposed method causes distribution of large size periodic rates between the rates of other periods so that the new values do not go far beyond reality.
Keywords:
Engineering Economics(EE) , Internal Rate of Return (IRR) , Present Value (PV) , Average Internal Rate of Return (AIRR) , Equivalent Annual Value (EAV)
Authors
Hossein Jafari
Young Researchers and Elite Club, Arak Branch, Islamic Azad University, Arak, Iran.
Asma Etebari
Department of Industrial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.
Kiyana Salehi
Department of Industrial Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, 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 :