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.
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
895.
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