| Course | GF570 Portfolio Management |
|---|---|
| Unit | Unit 4 |
| Paper type | Asset allocation model |
| Length | About 840 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | MS in Finance |
| Updated | October 2026 |
Free sample paper for GF570 Unit 4
Three Mixes, None Enough: A Unit 4 Asset Allocation Model That Tests Candidates Against the Policy
[Student Name]
Purdue University Global
GF570: Portfolio Management
Unit 4 Asset Allocation Model
[Instructor Name]
[Date]
The foundation and every capital market assumption are composite and illustrative; the articles cited are real.
Exhibit 1: Capital Market Assumptions
Expected annual returns and volatilities for the seven asset classes in the policy:
1. U.S. equity: 8.0 percent return, 16.0 percent volatility.
2. Non-U.S. equity: 8.6 percent, 18.0 percent.
3. Core bonds: 4.6 percent, 5.5 percent.
4. Inflation-linked bonds: 4.3 percent, 6.0 percent.
5. Real assets: 7.0 percent, 15.0 percent.
6. Private equity: 11.0 percent, 24.0 percent.
7. Cash: 3.5 percent, 1.0 percent.
These are arithmetic expectations over ten years, drawn from published long-term surveys and adjusted for current bond yields.
Exhibit 2: Correlations
U.S. and non-U.S. equity: 0.80. Equities with core bonds: 0.05 to 0.10. Equities with real assets: 0.60 to 0.65. Equities with private equity: 0.70 to 0.75. Core bonds with inflation-linked bonds: 0.75. Real assets with private equity: 0.55. Cash is assumed uncorrelated with everything.
Exhibit 3: The Three Candidates
Mix A, 60 percent growth assets. U.S. equity 30, non-U.S. 18, core bonds 28, inflation-linked 8, real assets 6, private equity 6, cash 4. Expected return 6.80 percent; volatility 9.82 percent.
Mix B, 73 percent growth assets. U.S. equity 32, non-U.S. 23, core bonds 16, inflation-linked 6, real assets 6, private equity 12, cash 5. Expected return 7.45 percent; volatility 11.95 percent.
Mix C, 85 percent growth assets. U.S. equity 36, non-U.S. 26, core bonds 9, inflation-linked 3, real assets 8, private equity 15, cash 3. Expected return 7.97 percent; volatility 13.79 percent, above the policy ceiling.
Step 1: Converting to Compound Returns
The return objective is a compound rate, so arithmetic expectations must be reduced by roughly half the variance. Mix A compounds at about 6.32 percent, Mix B at about 6.73 percent and Mix C at about 7.02 percent. None reaches 7.95 percent.
Step 2: Checking the Loss Limit
The fifth-percentile one-year result, expected return less 1.645 times volatility, is about negative 9.4 percent for A, negative 12.2 percent for B and negative 14.7 percent for C. All three pass the 15 percent loss limit, though C only narrowly.
Step 3: Where Correlation Does the Work
If Mix B's assets moved together perfectly, its volatility would equal the weighted average of their volatilities, about 14.3 percent. Its actual expected volatility is 11.95 percent. Imperfect correlations, chiefly between stocks and bonds, remove more than two points of risk. That gap is the reason Mix B fits inside the ceiling at all (Markowitz, 1952).
Even the most aggressive mix the policy allows compounds about a point short of 7.95 percent, so the trustees face a choice the model cannot make for them: accept a likely slow erosion of real value, raise the risk ceiling, or find a way to spend less.
Step 4: Probability of Meeting the Objective
Treating ten-year compound returns as roughly normal, with volatility shrinking by the square root of ten, the chance of earning at least 7.95 percent a year over the decade is about 30 percent for A, 37 percent for B and 42 percent for C. Mix C buys five percentage points of probability by breaching the volatility ceiling.
Why Allocation Matters Most
A classic study of pension plans found that the policy mix, not manager picks or market timing, accounted for the bulk of how their quarterly returns moved (Brinson et al., 1986). A later study drew a sharper line: the mix governs a fund's own swings over time but explains less of why one fund beats another (Ibbotson & Kaplan, 2000). Either way, the choice among these three mixes will shape the foundation's results more than any later decision.
Testing the Assumptions
The result depends on the capital market assumptions, so the model was rerun with two changes. If expected equity returns were one point higher, Mix B would compound at about 7.5 percent, still short. If bond returns were one point lower, Mix B would compound at about 6.5 percent and Mix A would fall further behind. No reasonable change in assumptions brings any compliant mix to 7.95 percent. The gap is structural rather than an artifact of conservative inputs.
What the Trustees Should Hear
The plain message is that the policy as written asks for more than the markets are likely to provide at the risk the trustees accept. That is not a failure of the model; it is information the trustees need before they approve a mix.
Recommendation
Adopt Mix B, the highest-returning mix within the volatility ceiling. Report to the trustees that, under current assumptions, it has roughly a 37 percent chance of meeting the 7.95 percent objective over ten years, and that the foundation's real value is more likely to erode slowly than to grow. Ask the trustees whether they prefer to accept that outcome, raise the ceiling toward 14 percent, or reduce costs and spending toward the legal minimum.
References
Brinson, G. P., Hood, L. R., & Beebower, G. L. (1986). Determinants of portfolio performance. Financial Analysts Journal, 42(4), 39-44. https://doi.org/10.2469/faj.v42.n4.39
Ibbotson, R. G., & Kaplan, P. D. (2000). Does asset allocation policy explain 40, 90, or 100 percent of performance? Financial Analysts Journal, 56(1), 26-33. https://doi.org/10.2469/faj.v56.n1.2327
Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
Reading the GF 570 Unit 4 instructions
Unit 4 in GF570 asks you to build and test candidate asset allocations against the investor's policy. Present capital market assumptions for each asset class and a correlation matrix, noting their sources. Build several candidate mixes and compute each one's expected return and volatility, showing how correlations reduce risk below a weighted average. Convert arithmetic returns to compound returns before comparing them with a compound objective. Test each mix against every policy limit, including loss limits. Estimate the probability of meeting the objective over the policy horizon. Test the result against changes in assumptions. Recommend a mix and state honestly whether it meets the objective. Cite portfolio theory and research on allocation in APA 7.
How this GF570 Unit 4 example is built
Exhibit 1 of the sample lists seven asset classes with expected returns and volatilities, and Exhibit 2 summarizes correlations. Exhibit 3 gives three candidates' weights, returns and volatilities. Step 1 converts each to a compound return, and Step 2 checks the fifth-percentile loss limit. Step 3 shows Mix B's volatility would be about 14.3 percent if assets moved together, against 11.95 percent with actual correlations, citing Markowitz. The highlighted sentence states the trustees' choice. Step 4 estimates ten-year probabilities of 30, 37 and 42 percent. A section citing Brinson, Hood and Beebower and Ibbotson and Kaplan explains why allocation matters most. Assumption tests show the gap is structural, and the recommendation lays out three options for the trustees.
Where the points sit in the GF570 Unit 4 rubric
GF570 allocation models earn most of their points from correct portfolio arithmetic: expected returns as weighted averages and volatilities computed with the full correlation matrix. Showing the diversification benefit explicitly demonstrates that correlation is doing work. Converting to compound returns before comparing with the objective is a key point of separation. Graders check each mix against every policy limit, not only volatility. Probability estimates and sensitivity tests earn credit for depth. Instructors in this MS in Finance course value honesty when no mix meets the objective, and a recommendation that lays out the trustees' real choices. Clear exhibits and the three studies listed in APA 7 complete the rubric. Graders also look for the assumption tests, since a result that hinges on one input should say so.
GF570 Unit 4 help: mistakes that cost points
The most common GF570 Unit 4 mistake is comparing arithmetic expected returns with a compound objective, which makes every mix look closer to success than it is. Others compute volatility as a weighted average, ignoring correlations entirely. Candidates are tested against the volatility ceiling but not against loss or liquidity limits. Assumptions appear without sources, and the allocation is never tested against a change in those assumptions. When no mix meets the objective, some papers quietly raise return assumptions rather than reporting the gap. Whatever investor the course assigns, the method holds: sourced assumptions, a correlation matrix, several candidates, compound returns, every limit tested, probabilities, sensitivity and a candid recommendation.
Get a GF570 Unit 4 example written to your instructions
Capital market assumptions, the policy limits and the rubric from your GF570 Unit 4 prompt are what the model runs on; if your instructor supplies a correlation matrix, it is used unchanged. Candidates are tested against every limit, and compound return is compared with the objective. First custom sample at no cost, usually within 24-48h. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
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GF570 Unit 4 questions, answered
Where do capital market assumptions come from?
Usually from the course materials, an instructor's table or published forward-looking estimates by large asset managers. The sample labels its figures as composite forward estimates and explains the logic behind two of them. If your prompt supplies assumptions, the custom model uses them unchanged, since graders compare your results with the answer built from their own inputs.
Why compare compound rather than arithmetic return with the objective?
Because the objective describes growth over many years, and wealth compounds. Volatility drags compound growth below the arithmetic average by roughly half the variance. In the sample that drag turns an apparently sufficient 8.30 percent into 7.35. Comparing the wrong figure is a frequent reason an allocation seems to meet a policy it does not.
Where can I find a free GF570 Unit 4 sample paper?
A complete GF570 Unit 4 asset allocation model for a composite foundation is on this page, testing three mixes with a correlation matrix, compound returns, loss limits, probabilities and APA 7 references.
Why does Mix B fit under the volatility ceiling?
Its assets do not move together perfectly. If they did, its volatility would be about 14.3 percent; with actual correlations, chiefly between stocks and bonds, it is about 11.95 percent.
What can the trustees do about the shortfall?
Accept a likely slow erosion of real value, raise the volatility ceiling toward 14 percent to allow more growth assets, or reduce costs and spending toward the legal minimum.