Application of VaR based on stable distribution

Value at risk is widely applied to estimated market risks. But it lacks a convincing technique capturing the observed phenomena in financial data such as heavy-tails, time -varying and short and long-range dependence. The stable distribution can deal with these problems well. The demonstrative research shows that VaR based on stable distribution can solve these problems better than the traditional normal distribution.