On the Conditional Value at Risk Based on the Laplace Distribution with Application in GARCH Model

In this article, the Laplace distribution is employed in lieu of well-known normal for finding better scalar values risk. Explicit formulas value-at-risk (VaR) and conditional (CVaR) are studied used to manage risk involved a stock movement by using GARCH model. Numerical simulations given variety stocks equity markets uphold findings.