You can also pass a set of portfolios to the Monte Carlo simulator and put it into optimization mode, where it will perform multiple simulations at varying contribution or withdrawal rates in order to find the portfolio that is best for your particular goal. Alternately, you can use the Mean Variance Optimizer to create a sample of portfolios along the efficient frontier, and use these as the input to the Monte Carlo simulator's optimization process. The output of both the Monte Carlo simulator and Mean Variance Optimizer can be plotted using a built in plotting utility, which allows you to create customized plots of one or more data series. Many more features.
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