MT423 Unit 4 Asset Class Review Example

Reviewed by Chester Goodwin, MBA Asset Allocation and Risk Management Purdue University Global Free custom sample in 24 to 48h

Six asset classes are compared on supplied forward-looking assumptions in this MT423 Unit 4 asset class review, and the number that decides how they combine is the correlation between stocks and bonds. U.S. stocks are assumed at 6.5 percent with 16 percent volatility, developed international at 7.0 and 17, real estate trusts at 6.8 and 20, core bonds at 4.5 and 6.0, inflation-protected Treasuries at 4.3 and 6.5, and cash at 3.2 and 1.0; return above cash per unit of risk clusters between 0.17 and 0.22. A fixed 60/40 mix runs from 9.42 percent volatility at a correlation of minus 0.2 to 11.00 at plus 0.5. Calendar 2022 would have cost it 16.07 percent. Ilmanen and Campbell and colleagues explain the shift. Purdue Global MT 423 assigns this review in the BS in Business Administration.

CourseMT423 Asset Allocation and Risk Management
UnitUnit 4
Paper typeAsset class review
LengthAbout 900 words, 6 pages double-spaced
FormatAPA 7 student paper
SchoolPurdue University Global
ProgramBS in Business Administration
UpdatedOctober 2026

Free sample paper for MT423 Unit 4

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The Correlation That Moved in 2022: An MT423 Unit 4 Asset Class Review of Six Classes

[Student Name]

Purdue University Global

MT423: Asset Allocation and Risk Management

Unit 4 Asset Class Review

[Instructor Name]

[Date]

Expected returns, volatilities and correlations are composite assumptions supplied for the exercise, modeled on the form of published capital market assumptions; the 2022 index returns are real, and the sources cited are real.

What this part is doingNaming correlation as the key figure in the lead tells the grader the review will reach the combining question.
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Forward-Looking Assumptions

The assumptions are forward-looking estimates of the kind investment firms publish each year, supplied for the course and labeled as such, not historical averages. U.S. stocks are assumed to return 6.5 percent a year with volatility of 16 percent. Developed international stocks are assumed at 7.0 and 17 percent, real estate investment trusts at 6.8 and 20, core U.S. bonds at 4.5 and 6.0, inflation-protected Treasuries at 4.3 and 6.5, and cash at 3.2 and 1.0.

Historical and forward-looking figures should not be mixed in one table. A historical average describes what happened over a particular period; an assumption describes what an analyst expects from today's starting yields and valuations. The 2022 figures later in this review are historical and are kept separate.

Return per Unit of Risk

Dividing each class's expected return above cash by its volatility gives a rough measure of reward for risk. U.S. stocks score 0.21, developed international 0.22, real estate trusts 0.18, core bonds 0.22 and inflation-protected Treasuries 0.17. The ratios cluster between 0.17 and 0.22, which means no class dominates the others on its own. No single class stands out, so whatever argument there is for holding several has to come from the way their swings offset.

The Correlation Matrix

The assumed correlations are high among the risky equity classes: 0.85 between U.S. and international stocks, 0.75 between U.S. stocks and real estate trusts, and 0.70 between international stocks and real estate trusts. Core bonds are assumed nearly uncorrelated with stocks, at 0.05, and with real estate trusts at 0.15. Inflation-protected Treasuries are assumed at 0.20 with stocks and 0.75 with core bonds. Cash is close to uncorrelated with everything.

Correlation Doing the Work

A fixed mix of 60 percent U.S. stocks and 40 percent core bonds shows how much correlation matters. Its expected return does not depend on correlation, but its volatility does. At a correlation of minus 0.2, the mix's volatility is 9.42 percent. At zero it is 9.90 percent. At plus 0.5 it is 11.00 percent. The same two classes in the same proportions carry about 17 percent more volatility when they move together than when they move slightly apart.

Ilmanen (2003) found that stock-bond correlations have changed considerably over time, tending to be positive when inflation is high and uncertain and negative when growth fears dominate. Campbell et al. (2017) traced the shift to how inflation and real rates affect both markets. A correlation is an estimate for a period, not a fixed property of the two markets.

2022 as the Test Case

Calendar 2022 showed what happens when that estimate breaks. The S&P 500 lost 18.11 percent on a total-return basis (S&P Dow Jones Indices, 2025), while the broad investment-grade bond benchmark, the Bloomberg U.S. Aggregate, fell 13.01 percent, its worst year on record, as inflation and rising rates pushed down both stocks and bond prices at once. A 60/40 mix of the two would have lost about 16.07 percent. In most earlier downturns of the previous two decades, bonds had risen while stocks fell; in 2022 they did not.

The diversification a 60/40 mix counts on came from a correlation that turned positive in exactly the year it was needed.

What this part is doingLinking the 2022 loss to the correlation shift turns a historical fact into the review's central lesson.
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Real Estate Trusts

Real estate investment trusts are often presented as a separate source of diversification. Under these assumptions their correlation of 0.75 with U.S. stocks means they behave much like a sector of the stock market. They add some exposure to rents and property values, but in a crisis they have tended to fall with stocks, often further. Their place in a portfolio should be justified by their return and income, not by diversification they do not provide.

Inflation-Protected Treasuries

Inflation-protected Treasuries adjust their principal with consumer prices, which protects purchasing power if they are held to maturity. They are not riskless before maturity. Their prices fall when real interest rates rise, and in 2022 real yields rose so sharply that inflation-protected Treasury funds lost about as much as ordinary bond funds despite record inflation. Their value for a retiree is protection of real spending power over time, not stability from year to year.

Cash

Cash carries almost no volatility and a modest expected return. Its role is liquidity, money to spend without selling other assets at a bad time, rather than return.

What the Review Implies for Denise

For Denise Hartley, whose capacity limit from Unit 3 is about 28 percent of current assets, the review points to two conclusions. First, the loss limit should be tested against a year in which stocks and bonds fall together, not only against a year in which bonds cushion a stock decline. Second, the classes that most reduce risk in a mix are core bonds and cash, because of their low correlation with stocks, while real estate trusts add less diversification than their label suggests. The strategic allocation in Unit 5 will use these assumptions and test each candidate against both kinds of crisis.

What this part is doingCarrying the review into the client's next decision shows the comparison was done for a purpose.
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References

Campbell, J. Y., Sunderam, A., & Viceira, L. M. (2017). Inflation bets or deflation hedges? The changing risks of nominal bonds. Critical Finance Review, 6(2), 263-301. https://doi.org/10.1561/104.00000043

Ilmanen, A. (2003). Stock-bond correlations. Journal of Fixed Income, 13(2), 55-66. https://doi.org/10.3905/jfi.2003.319353

S&P Dow Jones Indices. (2025). S&P 500. https://www.spglobal.com/spdji/en/indices/equity/sp-500/

MT423 Unit 4 instructions, in plain terms

Unit 4 asks students to review the main asset classes a portfolio could hold and to explain how they combine. Instructors expect expected returns, volatilities and correlations, usually from capital market assumptions the section supplies, with their source and date. Forward-looking assumptions and historical figures should be kept apart and labeled. Correlation should do visible work, for example by showing how a fixed mix's risk changes as one correlation changes. A recent case such as 2022, when stocks and bonds fell together, tests whether correlations are stable. Each class's role should be described honestly: real estate trusts often correlate highly with stocks, and inflation-protected Treasuries can lose value when real rates rise. The review should end by saying what the findings mean for the client's allocation.

Inside the MT423 Unit 4 example

The example opens with the six classes' assumptions, labeled as supplied and kept apart from history. A ratio of return above cash to volatility shows no class dominating. The correlation matrix follows. A section holds a 60/40 mix fixed and moves only the stock-bond correlation, citing Ilmanen and Campbell and colleagues on why the correlation shifts. The 2022 section gives the S&P 500 and Aggregate losses and the mix's 16.07 percent fall, under a highlighted line on diversification failing the year it was needed. Separate sections on real estate trusts, inflation-protected Treasuries and cash describe what each really offers. A final section draws two conclusions for Denise's allocation.

MT423 Unit 4 rubric: what earns full points

Asset class reviews earn their marks for combining the classes, not for listing them. Reviews that report each class's average return and stop never reach that question. Rubrics reward labeled, sourced assumptions kept separate from historical figures. Credit goes to a sensitivity panel or similar device that shows correlation changing a portfolio's risk. Treating a correlation as a fixed property, rather than an estimate that moved sharply in 2022, misses the unit's lesson. Accuracy about real estate trusts and inflation-protected Treasuries matters, since both are often oversold. A closing link to the client's allocation shows purpose. A clear assumptions table, a correlation matrix and attributed index returns meet the presentation standard most sections set.

Common MT423 Unit 4 mistakes, and how to avoid them

Weak reviews often present a table of long-run historical returns, call stocks risky and bonds safe, and move on. Another frequent error blends historical averages and forward-looking estimates in one table without saying which is which. Students commonly describe real estate trusts as a strong diversifier although their assumed correlation with stocks is high. Inflation-protected Treasuries are often called riskless, ignoring the price falls of 2022. Correlation is usually mentioned but never used in a calculation. Before submitting, pick one portfolio and recompute its volatility with the stock-bond correlation set to zero and to plus 0.5. If your review never shows a reader that difference, it has not yet explained how the classes combine.

Get an MT423 Unit 4 example written to your instructions

Asset class lists and assumption sets vary by section. Name the classes and source set out in your Unit 4 prompt, and a first MT423 review follows free: profiles, bracketed assumptions, a correlation test and a dated stress year, all to the rubric, within 24-48h. A spreadsheet for the sensitivity panel is available on request. 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.

More MT423 papers and BS in Business Administration samples

MT423 Unit 4 questions, answered

Where do expected returns for asset classes come from?

Usually from published capital market assumptions, which large asset managers and consultants release each year, or from figures the prompt supplies. Name the publisher and edition, bracket the numbers and say they are estimates. Historical averages can appear beside them if labeled as history, since the two answer different questions.

Should the review include alternatives like commodities or private equity?

When the prompt requests them, or when the case client could realistically hold them; otherwise they can stay out. Adding classes the client cannot access, or cannot hold at reasonable cost, lengthens the paper without improving the allocation. A sentence explaining why a class was left out usually satisfies graders better than a thin profile written only to lengthen the list.

How should historical correlations be presented?

With the period and data source, and ideally with a note on how they changed across subperiods. A single long-run figure hides episodes like 2022, when stocks and bonds fell together. Showing results under two or three correlation values, as a sensitivity test, communicates the uncertainty better than one precise number.

Where can I find a free MT423 Unit 4 sample paper?

This page holds the full MT423 Unit 4 review, comparing six asset classes on supplied assumptions and testing a 60/40 mix against 2022.

How much did 2022 cost the 60/40 mix in the MT423 Unit 4 sample?

About 16.07 percent, since the S&P 500 lost 18.11 percent and the Bloomberg U.S. Aggregate lost 13.01 percent in the same year.