Value at Risk estimation using a Monte Carlo simulation

被引:0
|
作者
Gogola, Jan [1 ]
机构
[1] Univ Pardubice, Fac Econ & Adm, Inst Math & Quantitat Methods, Pardubice, Czech Republic
关键词
VaR; Monte Carlo Simulation; Back testing;
D O I
暂无
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In this paper we deal with a value at risk (VaR) based on simulation approach, known as Monte Carlo method and its predictive performance is evaluated with respect to a given portfolio of 4 equities. The aim of this paper is to apply Monte Carlo simulation for value at risk (VaR) estimation and other goal is to check our results with empirical obtained values. There is paying attention to the importance of back testing. When testing the model results are compared to actual future results. During testing, therefore, expected losses of the portfolio compared with actual losses of the portfolio in order to know the accuracy of the model.
引用
收藏
页码:107 / 113
页数:7
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