Abstract:

Over the last three decades, both the importance of risk measurement and the efficiency of risk management tools have increased dramatically. One of the most popular approaches is Value at Risk (VaR). Due to the ever-increasing amount of assets in the portfolios of both financial and non-financial institutions, there is an increasing need to use tools to describe multidimensional dependency structures. In this context, the use of the copula functions is increased in a direct proportion. The copulas are able to describe dependencies in normal market conditions as well as in the extreme events. The aim of the paper is to determine how the application of asymmetric classes copulas in the accuracy of modeling and forecasting equity risk.