The problem of integral divergence in determining the Tail Value at Risk (TVaR) for the Inverse Weibull distribution is the main topic of this discussion. It investigates two approaches: Monte Carlo simulation and conventional numerical integration. Divergence presents difficulties for the first strategy, but the Monte Carlo method provides a versatile substitute. Particularly for heavy-tailed distributions, every solution is tuned for precision and efficiency.