How does The Newport Group determine the expected returns?
The Newport Group determines the expected return for a model portfolio by analyzing historical returns for each asset class and by factoring in assumptions about the future long-term performance of the economy. These assumptions are based on both macroeconomic and microeconomic variables, including GDP, inflation, projected growth rates and earnings surprises.
While many practitioners use long-term historical averages as a proxy for expectations, The Newport Group believes that a thoughtful approach to generating forward-looking inputs creates a much higher-quality result. The Newport Group’s approach is to use unbiased expected returns on fixed income (equal to today’s yields), while utilizing a premium build-up approach for expected equity returns. This method uses the current yield of the 10-year Treasury as the base or "risk-free" return and then adds a premium to the bond yield to reflect the compensation for equity risk.

What asset classes does Quicken use?

What are the expected returns for each asset class?
Model portfolios reduce risk
The model portfolios were designed to reduce risk. The measure of risk The Newport Group uses is the standard deviation. Standard deviation is an indicator of how much the rate of return varies from year to year. As an example, consider the following hypothetical returns for two different securities:

2000 2001 2002 Return Standard Deviation
Security 1 + 5% + 15% + 10% + 10% 5 %
Security 2 – 10% + 25% + 15% + 10% 13 %

The return for the two securities is the same, but because the return varied more for Security 2, its standard deviation is higher.

How does The Newport Group use the standard deviation to reduce risk? Suppose two asset classes have high standard deviations, but one tends to perform well when the other tends to perform poorly. That is, their performance is not highly correlated. If these two classes are combined to form a portfolio, the standard deviation of the resulting portfolio will be less than the weighted average of the two individual standard deviations.

What are the historical standard deviations?

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