| Course | MT480 Corporate Finance |
|---|---|
| Unit | Unit 5 |
| Paper type | Risk and return analysis |
| Length | About 870 words, 6 pages double-spaced |
| Format | APA 7 student paper |
| School | Purdue University Global |
| Program | BS in Business Administration |
| Updated | October 2026 |
Free sample paper for MT480 Unit 5
What Diversification Strips Away: An MT480 Unit 5 Analysis of Risk and Return in a Mushroom Grower's Stock
[Student Name]
Purdue University Global
MT480: Corporate Finance
Unit 5 Risk and Return Analysis
[Instructor Name]
[Date]
Brandywine Hollow Mushrooms, the gas producer, the scenarios and every figure are composite; the sources cited are real.
Why Gas Prices
Brandywine Hollow Mushrooms burns natural gas to pasteurize compost and to heat its growing rooms in winter. Gas is its largest cost after labor, so its profits fall when gas prices spike and rise when gas is cheap. A natural gas producer has the opposite exposure. Pairing the two shows what diversification does.
The Scenarios
Four states of the coming year are assigned probabilities. A gas spike in a strong economy, probability 20 percent: the grower returns negative 0.6 percent, held up by strong demand; the producer returns 26.1 percent. A gas spike in a weak economy, 15 percent: the grower returns negative 15.3 percent; the producer 19.0. A normal year, 40 percent: the grower 15.2 percent; the producer 8.7. A gas glut, 25 percent: the grower 22.9 percent; the producer negative 13.6.
Expected Return and Risk for Each Stock
Each stock's expected return weights its four scenario returns by their probabilities. For the grower, it is about 9.39 percent; for the producer, about 8.15 percent. Standard deviation captures how far the scenario returns stray from that average, with each squared gap weighted by its probability. The grower's is about 13.06 percent; the producer's about 14.16. Each stock alone is risky: in a bad year the grower could lose 15 percent, and the producer 14.
The Two Together
The two stocks move against each other. Their correlation across the scenarios is about negative 0.80: when gas spikes, the grower falls and the producer rises. A portfolio holding 60 percent grower and 40 percent producer has an expected return equal to the weighted average, about 8.89 percent. Its standard deviation is far lower than either stock's, about 4.72 percent, because the losses in one stock are largely offset by gains in the other. In the four scenarios the portfolio returns 10.08, negative 1.58, 12.6 and 8.3 percent.
Holding both stocks gives up half a point of expected return and removes almost two-thirds of the risk.
Markowitz (1952) showed that combining assets changes risk through their co-movement as much as through each asset's own volatility, and this pair is an unusually clear example. Few real stocks are as negatively correlated as these two; most diversification comes from combining many stocks whose returns are only loosely related.
What the Market Pays For
If diversification removes much of a stock's risk, investors cannot expect to be paid for bearing that part. The capital asset pricing model, developed by Sharpe (1964), holds that the market rewards only systematic risk, the share of a stock's swings tied to the broad market, which no amount of diversification removes. That risk is measured by beta.
With Treasury bills at 4.3 percent, a 5.5-point premium for the market and a beta of 0.84 estimated from sixty months of returns, the grower's required return is 4.3 percent plus 0.84 times 5.5 percent, about 8.92 percent. The scenario analysis expects 9.39 percent, about 0.47 points above the security market line, which would suggest the stock is slightly underpriced if the scenarios are right.
How Much of the Risk Is Systematic
Beta explains about 23.9 percent of the variance in the grower's monthly returns over the sixty months. The other 76 percent comes from events specific to the grower and its industry, gas prices, crop losses, grocery contracts, which a diversified investor can largely offset. That is why the grower's total standard deviation, 13.06 percent, overstates the risk a diversified shareholder actually bears, and why its required return is lower than its volatility might suggest.
What the Grower's Managers Should Take From This
The analysis matters inside the company as well as to investors. Managers often want to reduce the volatility of earnings by hedging gas prices or by diversifying into businesses that move differently. The capital asset pricing model suggests caution: shareholders who already hold diversified portfolios do not need the company to diversify for them, and they will not pay more for a stock simply because its earnings are smoother. Hedging can still be worth doing when volatility itself is costly, for example when a gas spike could breach a loan covenant or force the company to cut a promised delivery, as nearly happened in Unit 1. The justification has to be that cost, not the volatility alone. Unit 9 returns to the covenant question when it weighs how much debt the grower can carry through a gas-spike year.
Limits
The scenario probabilities and returns are judgments, and different analysts would assign different ones. Beta is estimated from past returns and may not hold in the future. Fama and French (2004) review evidence that the capital asset pricing model explains average returns imperfectly, so the 8.92 percent figure is a reasonable estimate rather than a precise one. Unit 7 uses it in the cost of capital and tests how much the answer changes if beta is higher or lower.
References
Fama, E. F., & French, K. R. (2004). The capital asset pricing model: Theory and evidence. Journal of Economic Perspectives, 18(3), 25-46. https://doi.org/10.1257/0895330042162430
Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91. https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425-442. https://doi.org/10.1111/j.1540-6261.1964.tb02865.x
What the MT480 Unit 5 assignment asks for
In Unit 5, MT480 has students quantify a stock's risk and expected return, show what diversification takes away and find a beta-based required return. Build scenarios with probabilities and returns, explaining why the stock behaves as it does in each. Calculate expected return and standard deviation for each security, then for a portfolio, using the correlation between them. Explain why the portfolio's risk is lower than either stock's. Introduce systematic risk and beta, estimate the required return and compare it with the scenario expectation. Discuss how much of the stock's risk is diversifiable and what that means for investors and managers. Close with the limits of scenario judgments and beta estimates. About four pages with one scenario table and a security market line is common, with every figure reproducible from the table.
How this MT480 Unit 5 example is built
Brandywine Hollow's analysis explains why gas prices drive the grower's returns and the producer's in opposite directions. Four scenarios follow with probabilities and returns for both. Expected returns and standard deviations are computed for each stock. The two-stock portfolio comes next, with its scenario returns listed and its risk falling sharply, under a highlighted line on giving up half a point of return to remove most of the risk, citing Markowitz. Sharpe's model then separates systematic risk, and the required return is estimated and compared with the scenario figure. A section explains that most of the grower's variance is diversifiable. Another tells managers that smoothing earnings is worth paying for only when volatility itself is costly, such as a covenant breach. The limits section cites Fama and French and points to Unit 7's beta sensitivity.
Where the points sit in the MT480 Unit 5 rubric
Risk and return analyses are graded on correct statistics and clear interpretation. Instructors credit scenario tables with sensible probabilities and returns that the student can explain. Correct calculation of expected return, standard deviation and portfolio risk with correlation is expected. Explaining why diversification reduces risk, in terms of co-movement, shows understanding of portfolio theory. Distinguishing total risk from systematic risk, and estimating the required return with beta, is the unit's central marking point. Comparing the scenario expectation with the required return shows application. Discussing what diversification means for corporate decisions, such as hedging, is often rewarded as unusually thoughtful. Acknowledging the limits of beta and scenario judgments shows critical awareness. A clear table and chart help the grader.
MT480 Unit 5 help: mistakes that cost points
The commonest Unit 5 error is computing standard deviation without weighting by scenario probabilities. Another is averaging two stocks' standard deviations to get a portfolio's, ignoring correlation. Students often treat a stock's total volatility as the risk the market rewards. Beta is frequently used without saying where it came from. Scenarios sometimes have returns that do not match the story told about them. Before submitting, check that your scenario probabilities sum to one and that each return makes sense for the company in that state. Then recompute portfolio risk with the correlation and confirm it is lower than the weighted average of the two standard deviations. Finally, explain in a sentence which part of the stock's risk a diversified investor actually bears.
Get an MT480 Unit 5 example written to your instructions
Send the Unit 5 scenario data or return series your section issued, the market figures you were told to use, and the rubric. A custom analysis shows each weighted deviation, builds the portfolio one weight at a time and plots the security market line. The first custom sample is free, with a 24-48h turnaround in most cases. 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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MT480 Unit 5 questions, answered
Why is the correlation so strongly negative?
Because the two companies sit on opposite sides of the same price. Expensive gas raises the grower's heating costs and the producer's revenue, and cheap gas does the reverse. Few real pairs are this tidy, a point the sample makes itself; the composite pair was chosen to make the arithmetic of diversification visible. With actual return data, correlations near zero or modestly positive are far more common.
Should I use the scenario return or the CAPM return as the cost of equity?
The CAPM figure, in most sections. The scenario return estimates what the stock might earn; the CAPM gives what investors require given its market risk, and that requirement is what the firm must cover. The sample reports both, notes the 0.48-point gap and carries 8.92 percent forward, which is also the input the cost of capital unit needs next.
Where does a beta of 0.84 come from?
Typically from a regression of the stock's monthly returns on a market index over five years, and financial data sites publish such estimates. The sample states the period and index used. Betas vary with the window and the index chosen, so a sentence acknowledging that uncertainty, perhaps with the required return at a beta one tenth higher or lower, strengthens the analysis.
Where can I find a free MT480 Unit 5 sample paper?
This page prints the full MT480 Unit 5 analysis of a composite mushroom grower's risk, a two-stock portfolio with a gas producer and a CAPM required return.
How much risk does the portfolio remove in the MT480 Unit 5 sample?
Its standard deviation falls to about 4.72 percent from 13.06 and 14.16 for the two stocks alone, while expected return stays near 8.89 percent.