STOCK PRICING MODEL BASED ON PROSPECT THEORY

Abstract:
This article investigates fluctuations in stocks prices at Tehran Stock Exchange, assuming that investor's utility stems from fluctuations in value of stocks as well as consumption. Thus, the two behavioral phenomena discussed in Prospect theory, i. e. Loss aversion and House money effect, were factored into Consumption-based Asset Pricing Model and Investor's Utility Function, which takes into account utility both from consumption and financial investments. Price equations were defined in the two economic environments based on Lucas Theory (1978). The processes of consumption and dividend are equal in the first economy but different in the second economy. Next the P/D ratio was simulated in both economies and then compared with real market data. Utilizing ANOVA and K-Means, it became clear that the mean and standard deviation in the second economy are closer to real market data than those of the first economy. It, therefore, can be concluded that the second economy provides a more accurate estimation of the P/D ratio, implying that the aforementioned behavioral phenomena do in fact exist in the market and affect investor's pricing of stocks.
Language:
Persian
Published:
Financial Research, Volume:18 Issue: 41, 2016
Pages:
59 to 76
https://magiran.com/p1631361  
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!