Monte Carlo Simulation: What is it? It is a technique used to understand the impact of risk on the outcome of any project, wherein the impact of the risks can't be forecasted using traditional techniques. The source of risk is mainly the uncertainties related to the various inputs. The uncertainties of input would generally follow a probability distribution. For example, the market returns tend to follow the normal distribution and inflation tends to follow the lognormal distribution. The Monte Carlo Simulation (MCS) converts the uncertainties of the inputs into probability distributions, chooses values randomly from the distributions of each of the inputs, feeds them into the model of the project, and generates the output. MCS repeats this process thousands of times to produce a range of possible outcomes with the probability of their occurrences. MCS: Use in Financial Planning We take a simple example to illustrate the use of MCS in financial planning. Suppose a client needs to ...