Historical Method: This approach uses historical market data to simulate potential future losses. By analyzing past price movements, businesses can estimate the value at risk. Variance-Covariance Method: This method assumes that asset returns are normally distributed and calculates VaR using the mean and standard deviation of historical returns. Monte Carlo Simulation: This complex method involves running numerous simulations of potential future price paths for assets, providing a comprehensive view of potential risks.