Comparing the Behavioral Model of Stock Images with Traditional Models in estimating Stock values of Companies Listed on Tehran Stock Exchange

Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Investor's objective of investing in stocks is gaining profit and reasonable return .Using behavioral model of stock image and traditional models (free cash flow of equity, discounted dividends and residual income), this research tries to present a framework for estimating stock values of companies and assess the performance of each of them in stock valuation of companies. In this regard, 95 manufacturing and industrial companies listed on the Tehran Stock Exchange were selected. The study period was from 2009 to 2013. The models performance was compared based on explanatory power and accuracy using panel data technique and prediction errors respectively. The results of research show that the behavioral model of stock image is higher explanatory power and accuracy compared to traditional models in estimating of stock values. The behavioral model can explain the role of behavioral factors in stock pricing and helpful for stockholders in the active portfolio management.
Language:
Persian
Published:
Journal of Investment Knowledge, Volume:7 Issue: 25, 2018
Pages:
245 to 266
magiran.com/p1815207  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!