Value at Risk yang memperhatikan sifat statistika distribusi return

Basel II Accord implicitely demands the usage of the recent statistical approaches to enrich the risk measurement in financial analysis. A widely known aspect in risk analysis today is the Value at Risk. We showed that the conventional VaR measurement regarding to the usage of normality as a basic principles is not met with the statistical properties discovered in a lot of financial data showing a-normality. The paper shows the comparative analysis of two methods to measure VaR: the one with normality basis and the other one realizing the two statistical moments, i.e.: skewness and kurtosis. The simulation results show that the latter gives better accuracy.