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Glossary

Sensitivity Analysis

Sensitivity analysis is a financial technique used to assess how variations in an input variable impact the outcome in a model, determining the sensitivity of the model's results to changes in the input.

Sensitivity analysis: Understanding its impact on financial models

Sensitivity analysis involves assessing how changes in assumptions impact the outcomes of financial models. This method pinpoints crucial assumptions affecting results and gauges the associated uncertainty. It also tests various scenarios to observe how alterations affect the model.

Performing sensitivity analysis in financial modeling

The method determines a financial model's susceptibility to changes in its foundational assumptions. It examines variable influences on the model's output, identifies sensitive areas, and aids decision-making processes.

Conducting sensitivity analysis techniques

Various approaches exist, with the most common involving what-if scenarios. By altering individual assumptions and observing resultant changes, analysts identify the most responsive aspects of the model.

Precautions in sensitivity analysis

When conducting sensitivity analysis, it's critical to use realistic assumptions and accurate data inputs. Changing one input at a time and comprehending its impact is vital. Understanding both the analysis's limitations and underlying assumptions is also key.

Understanding the different types of sensitivity analysis

Five primary types include parametric sensitivity analysis, scenario sensitivity analysis, robustness sensitivity analysis, sensitivity to assumptions, and sensitivity to model structure.

Applications of sensitivity analysis in financial modeling

This analysis determines the impact of variable changes on a financial model's value, facilitating more informed decision-making regarding crucial inputs and predicting potential model failures.