Monte Carlo Simulation in Financial Modeling
Whenever we are constructing a financial model, we rely heavily on assumptions. Some, if not all, of those assumptions, have the associated uncertainty and inherent risk. Not being able to predict the future makes it harder to solve and model the probability of different outcomes from our financial models. In such situations, we can apply […]
Decision Trees in Financial Analysis
Introduction to Decision Trees We use Decision Trees to clarify the expected value of capital investment opportunities. Decision Trees can also be helpful in business operations, where companies continuously struggle with big decisions on product development, operations management, human resources, and others. With Decision Tree analysis, we can better evaluate the alternative options. However, we […]
Scenario Analysis of Financial Models
Introduction to Scenario Analysis Scenario Analysis represents the process of calculating an estimation model under a variety of scenarios for the future. The idea behind this analysis method is to assess the effect of risk on values in a financial model. Scenario Analysis helps us outline how realistic are the assumptions in our model and […]
Sensitivity Analysis in Financial Modeling
Introduction to Sensitivity Analysis We apply Sensitivity Analysis to a financial model to determine how different values of an independent variable affect a specific dependent variable under a given set of assumptions. We also refer to it as ‘what-if’ or simulation analysis. Performing such analysis helps us predict better the outcome of a decision, based […]