The Best Methodology of Estimation of Value-at-Risk in Iranian Mutual Funds

Abstract

The considerable increase of mutual funds in recent years drove supervising and controlling organizations of these funds to impose some risk management directives based on value-at-risk. However the concept’s flexibility raises many questions concerning the choice of the most accurate and suitable estimation model which can be used for risk management.The purpose of this study consists of selecting between the three esimation methods, namely, parametric, historical, and Monte Carlo simulation method, to determine the most accurate method for providing the prediction of potential losses which confront Iranian mutual funds. For this purpose, we tried firstly to present the different estimation’s approached of VaR. Secondly, we analyzed the statistical descriptive characteristics of mutual funds, the subject of this study. After that, empirical study’s results have been exposed, and therefore, allowed us to highlight that there is no significant difference between different methods and 99 percent confidence level is the best level for estimation.

Keywords

• value-at-risk
• mutual funds
• parametric method
• historical method
• monte carlo simulation