This paper investigates the impact of time-scaling methods on the accuracy of value-at- risk (VaR) models. We compare the performance of traditional square-root-of-time scaling with a proposed ...

VaR helps quantify investment risk by modeling potential losses in portfolios or stocks. Three main VaR methods are historical, variance-covariance, and Monte Carlo simulation. Using VaR with other ...