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Unexpected Loss (UL) can be calculated using statistical methods, typically involving the estimation of the distribution of potential losses over a specified time horizon. One common approach is to use Value at Risk (VaR) to quantify the potential loss at a certain confidence level, then calculate UL as the difference between the expected loss and the VaR. Additionally, simulation techniques like Monte Carlo methods can be employed to model the variability of potential losses and derive UL. It's essential to factor in the likelihood and severity of extreme loss events to accurately assess UL.

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