What is the purpose of sensitivity anlaysis scenario analysis and Monte Carlo simulation?

Sensitivity analysis, scenario analysis, and Monte Carlo simulation are techniques used to assess the impact of uncertainty on model outcomes. Sensitivity analysis evaluates how changes in input variables affect results, helping identify key drivers of performance. Scenario analysis examines the effects of different predefined scenariOS on outcomes, providing insights into potential future states. Monte Carlo simulation uses random sampling to model the probability of various outcomes, offering a comprehensive view of risk and uncertainty in complex systems.