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One of the major problems faced by banks is how to manage the risk exposure in large portfolios. According to Basel II regulation banks has to measure the risk using ValueatRisk with confidence level 99%. However, this regulation does not specify the way to calculate ValueatRisk. The easiest and most common way to calculate ValueatRisk is to assume that portfolio returns are normally distributed. The previous crisis shows that the regular methods are unfortunately not always enough to prevent bankruptcy. This study is devoted to compare the classical methods of estimating risk with other methods such as CornishFisher Expansion (CFVaR) and assuming generalized hyperbolic distribution. For this study, we estimate the risk in a large portfolio consisting of ten stocks, chosen from the NASDAQ 100list and from different sectors in order to have welldiversified and highly liquid portfolio. The results show that for a welldiversified large portfolio none of the risk measures are violated. However, for a portfolio consisting of only one highly volatile stock we prove that we have a violation in the classical methods but not when we use the modern methods mentioned above.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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