Evaluating the Performance of Forecasting Models for Portfolio Allocation Purposes with Generalized GRACH Method

• Main Authors: Adel Azar, Mohsen Hamidian, Maryam Saberi, Mohammad Norozi
• Format: Article
• Language: English
• Published: Islamic Azad University of Arak 2017-03-01
• Series: Advances in Mathematical Finance and Applications
• Subjects: Loss functions; Portfolio allocation; Evaluating forecasts
• Online Access: http://amfa.iau-arak.ac.ir/article_529057_9d2abe9a9e638a2575215deb01974db0.pdf

Portfolio theory assumes that investors accept risk. This means thatin the equal rate of return on the two assets, the assets were chosenthat have a lower risk level. Modern portfolio theory is accepted byinvestors who believe that they are not cope with the market. Sothey keep many different types of securities in order to access theoptimum efficiency rate that is close to the rate of return on market.One way to control investment risk is establishing the portfolioshares. There are many ways to choose the optimal portfolioshares. Among these methods in this study we use loss functions.For this, we choose all firms from the year2011to the end of 2015that had been a member in the Tehran Stock Exchange. The resultsof this research show that the likelihood functions have the bestperformance in Forecasting the optimal portfolio allocationprob-lem.