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Classic Mean / Variance Simulation Type

The Classic Mean/Variance capital market simulator geometrically combines, for each asset class, three components at each point in time, t, to get the total, or nominal, rate of investment return NR(t) as follows:

 NR(t) = [(1 + RR) * (1 + Inf(t)) * (1 + e)] – 1,

where:

The parameters, entered via the Asset Classes topic, are:

Although the multi-factor term structure and explicit corporate yield curve simulators do a far superior job of generating bond yields that are consistent with bond returns, the Classic Mean/Variance simulator can also generate government and corporate bond yields. The parameters to do so can be found under the Benchmark Yields topic and are also briefly described below.

In the Classic Mean/Variance simulator type, ProVal input values and output values are essentially the same, that is, typically the mean variance simulator (unlike the multi-factor and explicit corporate yield curve simulators) does not require the user to calibrate, or iteratively adjust, each of the required inputs until all of the simulation results match the desired outputs. Said differently, to achieve, for example, an 8% expected return for a given asset class within the classic mean variance simulator (e.g., where long term inflation is 3%), you would simply calculate a real expected return of 0.048544 (1.08/1.03 – 1) and enter it, and you are “done” with real return input at that point.