| This paper provides an overview of developments, methodologies, and applications of Value at Risk (VaR). Various key methodologies of VaR estimation and evaluation are discussed and compared. A new approach with extreme value theory (EVT) and kernel estimator technique is proposed. The empirical study utilizing a sample of portfolios and stocks for more than 13 years data shows that the new EVT with kernel estimator approach outperforms other existing methods. |
