★ Optional Excel ICE — Up to 100 Additional Chapter 13 Homework Points
FIN509 · CHAPTER 13 STUDY GUIDE
The four required topics below will be tested on the quiz and the final exam. Work through them in order. Try each calculation by hand, check it with the calculator, then use the three practice quizzes to check your understanding.
Use a table of outcomes and probabilities to calculate expected return, variance, and standard deviation. Standard deviation measures total volatility.
Use weights to find expected portfolio return. Use weights, stock volatilities, and correlation to calculate portfolio variance and standard deviation. Explain why lower correlation can reduce portfolio risk.
Distinguish market-wide risk from company-specific risk, also called idiosyncratic risk. Explain why spreading your holdings across companies and industries reduces company-specific risk while leaving market risk.
Explain what beta measures. Know the risk-free rate, expected market return, and market risk premium. Calculate the market risk premium as expected market return minus the risk-free rate, then calculate required return as the risk-free rate plus beta times the market risk premium.
Explore these after the required topics. They extend the lesson beyond the quiz and final exam scope.
Official FIN509 class dataset: 60 month-end closing prices (Nov 2021–Oct 2026), 59 matched monthly price returns, and built-in Excel formulas for average return, standard deviation, and correlation. Save both this webpage and fin509-chapter13-data.xlsx in the same website folder. Prices exclude dividend income. AAPL source · MRNA source.
Every investment decision is a tradeoff: you want a higher return, but higher return usually comes with higher risk. This chapter gives you a structured way to measure both.
Return is the gain (or loss) from an investment over a period. It can come from price change and cash income (such as dividends).
Notes: HPR is a realized return for one period. Expected return uses probabilities across possible outcomes.
Buy at $50, end at $54, dividend $1.
In this chapter, risk means uncertainty (variability) of returns. If returns swing a lot, risk is higher.
Notes: Convert percentages to decimals before calculations (10% = 0.10).
Keep expected return at 6% and compare narrow, wide, and zero-spread outcomes. See how the chance of a gain above 10%, a loss below −5%, or any loss changes.
The bell curves illustrate a normal distribution. Actual stock returns may not follow that shape. Standard deviation measures variation on both the gain and loss sides.
This optional follow-up shows where the probabilities in the video above come from. Follow the shaded bell curves and Excel formulas to calculate the chance of earning more than 10%, losing more than 5%, or having any negative return.
Optional learning extension: Watch if you want to understand the calculations behind the first video. Examples assume normally distributed returns; actual stock returns may differ.
First, we use a textbook probability table (Apple teaching example). For optional practice, use the real-data method: use November 2021–October 2026 month-end prices → monthly returns → mean and standard deviation in Excel.
Start here: Apple’s one-stock probability example, then Apple and Moderna monthly data, portfolio return, risk, and correlation.
| State of the Economy | Probability | Apple Return (Example) |
|---|---|---|
| Recession | 10% | -30% |
| Below Average | 20% | -2% |
| Average | 40% | 10% |
| Above Average | 20% | 18% |
| Boom | 10% | 40% |
Notes: This is a teaching probability model (not historical Apple returns).
| State | p | R | p × R |
|---|---|---|---|
| Recession | 0.10 | -0.30 | -0.0300 |
| Below Average | 0.20 | -0.02 | -0.0040 |
| Average | 0.40 | 0.10 | 0.0400 |
| Above Average | 0.20 | 0.18 | 0.0360 |
| Boom | 0.10 | 0.40 | 0.0400 |
| Total = E[RA] | 0.0820 = 8.20% | ||
This matches the Apple textbook expected return shown on this page: 8.20%.
Use E[RA] = 0.0820 (decimal).
| State | R | R − E[RA] | (R − E[RA])² | p × (R − E[RA])² |
|---|---|---|---|---|
| Recession | -0.30 | -0.382 | 0.145924 | 0.0145924 |
| Below Average | -0.02 | -0.102 | 0.010404 | 0.0020808 |
| Average | 0.10 | 0.018 | 0.000324 | 0.0001296 |
| Above Average | 0.18 | 0.098 | 0.009604 | 0.0019208 |
| Boom | 0.40 | 0.318 | 0.101124 | 0.0101124 |
| Variance = Var(RA) | 0.028836 | |||
Expected return: 8.20%
Risk (stdev): 16.98%
If the download doesn’t start, right-click the button → “Save link as…”
Mean (monthly): —
Stdev (monthly): —
One-SD range: —
| Date | AAPL Price | AAPL Monthly Return |
|---|
First row has no return (no prior month).
If the download doesn’t start, right-click the button → “Save link as…”
Mean (monthly): —
Stdev (monthly): —
One-SD range: —
| Date | MRNA Price | MRNA Monthly Return |
|---|
First row has no return (no prior month).
Paste rows as: probability, return (prob in %, return in %). Example: 10, -30
Expected return: —
Variance: —
Standard deviation: —
Variance is shown in decimal units (for example, 0.028836).
Apply core risk, return, diversification, and CAPM concepts to a practical investment decision.
Now we move from one stock to a two-stock portfolio. Use the same monthly return series and compute mean, stdev, and correlation in Excel, then compute portfolio risk. Correlation (AAPL, MRNA) = 0.0550.
Learn why lower correlation can reduce portfolio risk. Includes a hypothetical Apple–Moderna example, sample covariance and correlation calculations, Excel COVARIANCE.S and CORREL, a scatterplot, and the two-stock portfolio risk formula.
Watch on YouTube ↗ Narration by Thomas · For FIN301 & FIN509
Note: The video uses illustrative returns, not historical Apple or Moderna returns. The historical-return calculations elsewhere in this lesson are separate.
| Input (monthly) | AAPL | MRNA | Excel function |
|---|---|---|---|
| Mean return | — | — | =AVERAGE(returns) |
| Stdev | — | — | =STDEV.S(returns) |
| Correlation (AAPL, MRNA) | 0.0550 | =CORREL(D6:D64,E6:E64) | |
Portfolio mean (monthly): —
Portfolio stdev (monthly): —
Covariance: —
Weight in Moderna: —
Portfolio mean: —
Covariance (A,M): —
Portfolio variance: —
Portfolio stdev: —
Apply core risk, return, diversification, and CAPM concepts to a practical investment decision.
Use Google Sheets to see whether NVIDIA (NVDA) and Tesla (TSLA) tend to move together. Start with the short video, then try the steps if you want extra practice.
Both methods use Google Sheets’ GOOGLEFINANCE function. A historical close is the stock’s closing price for a trading day. The function returns two columns, date and close.
The app is a shortcut for inserting the Google Finance formula. Enter NASDAQ:NVDA, choose the start and end dates, and click Fetch Data. Once the date and close columns appear in the sheet, repeat for NASDAQ:TSLA using the same dates.
In a blank sheet, enter the first formula in A1 and the second in D1. Leave room underneath for the results to fill in.
For more practice, try NASDAQ:AAPL, NASDAQ:WMT, or INDEXSP:.INX for the S&P 500. Use the shared date range you can verify for both series. If a comparison has fewer common dates, report the period you actually used.
Why use Sheets here? Yahoo Finance lets you look up historical prices. Its historical CSV download requires a Gold subscription where export is available. Sheets brings the data into cells where you can calculate directly. Yahoo Finance Help ↗ · Google Sheets Help ↗
On a new tab, put matching trading dates in column A, NVDA closes in B, and TSLA closes in C. Sort the common dates oldest to newest. Use consecutive trading days so each return covers the same one-day interval for both stocks.
With headers in row 1 and the first prices in row 2, enter =B3/B2-1 in D3 and =C3/C2-1 in E3. Fill down and format the returns as percentages. Leave row 2’s return cells blank. A close that rises from $100 to $102 has a +2% price return.
Use =CORREL(D3:D5,E3:E5) for the video’s three-return example. For your own data, replace row 5 with the last row containing both returns. The video uses hypothetical prices. A live comparison uses about a year of daily returns.
Correlation (ρ) ranges from −1 to +1. Near +1 means returns tend to move together. Near 0 means little linear relationship. Near −1 means they tend to move in opposite directions. For the same weights and individual stock volatilities, lower correlation lowers the risk of a two-stock portfolio with positive weights in both stocks.
| Pair | ρ (12-mo) |
|---|---|
| NVDA vs TSLA | — |
| NVDA vs AAPL | — |
| NVDA vs WMT | — |
| NVDA vs S&P 500 (INDEXSP:.INX) | — |
If you’re picking just a handful of stocks, always check pairwise correlations.
Note: Correlations can change over time and may rise during market stress.
Optional, but useful: adding a third stock can reduce firm-specific risk further.
Next: extend the two-stock portfolio to three stocks, see why each pair’s correlation matters, and briefly explore four stocks.
We can keep adding stocks to this portfolio (4 stocks, 5 stocks, ...). As the portfolio becomes broader across industries, idiosyncratic (firm-specific) risk keeps falling.
Notes: This is why the chapter shifts from standard deviation (σ) to beta (β).
Apply core risk, return, diversification, and CAPM concepts to a practical investment decision.
| Stock | E[R] (%) | σ (%) | Weight |
|---|---|---|---|
| 1 · NVDA | |||
| 2 · TSLA | |||
| 3 · WMT |
As N grows, pair count explodes. For intuition on expected returns with many assets, use CAPM below. For risk with many assets, use matrix tools/Excel (or course calculators).
CAPM uses beta (β) to measure systematic risk. Here we keep Apple + Walmart + Moderna on the SML. (Given class inputs: Apple β=1.11, Walmart β=0.67, Moderna β=1.32.)
Finally: use beta and the CAPM equation to find required return, then see how the same equation becomes the SML.
Use beta to estimate the required return for market risk. Start with the risk-free rate, then add compensation for systematic risk. This model provides a benchmark; it does not guarantee the return you will earn.
Watch five local or company-specific shocks and five marketwide shocks. See why diversification reduces one kind of risk but leaves exposure to the market.
As you add more stocks, idiosyncratic risk (firm-specific risk) falls. After a broad portfolio (often around 20–25+ stocks), most of that risk is reduced. What remains is mainly systematic risk (market-wide risk).
Risk specific to one company (or a small group of companies). This can be diversified away.
Market-wide risk that affects many or most stocks. This cannot be diversified away.
Think of risk layers like geography:
Notes: CAPM focuses on the broad market component (systematic risk), which is why beta is used.
The curve below shows total portfolio risk falling as the number of stocks increases, then leveling off at systematic risk.
Note: betas vary across sources and time windows. For any assignment, use the same source for all stocks.
Required return = risk-free rate + compensation for the stock’s market risk.
Expected market return − risk-free rate = expected extra return for market risk.
Then use CAPM = R𝒻 + βᵢ × MRP. If the question already gives MRP, use it directly; do not subtract R𝒻 again.
Enter R𝒻, E(Rₘ), and β to calculate the required return. For the example above, use 4%, 10%, and 1.5; the CAPM answer is 13%.
Open JUFinance.com CAPM Calculator ↗Click any symbol above to open its definition below, or click a definition heading. Use all rates for the same period.
A model that estimates the return investors require for an investment’s systematic (market) risk. Its inputs are the risk-free rate, beta, and the expected market risk premium.
Read this as “expected return on investment i.” In the CAPM equation it is the model-implied required return: the benchmark for compensation for market risk. A separate forecast of a stock’s expected return may differ from this benchmark; neither is a guaranteed realized return.
The baseline return for an investment treated as free of default risk over the relevant horizon. A Treasury rate is commonly used as a proxy. Match the horizon and currency to your analysis. Example: R𝒻 = 4%.
Beta measures sensitivity to market returns. β = 1 means market-like sensitivity; β = 1.5 means roughly 1.5 times the market’s sensitivity on average; β = 0.5 means half. Beta measures systematic risk, not total risk, and is not a guaranteed movement ratio.
The return you expect from the broad market portfolio over the period. A broad stock index is commonly used as a proxy. Example: E(Rₘ) = 10%. This is the full expected market return, before subtracting R𝒻.
MRP = E(Rₘ) − R𝒻. This is the expected extra return from taking market risk instead of holding the risk-free investment. Example: 10% − 4% = 6 percentage points. Enter 6% as the premium in the CAPM calculation.
E means “expected,” or a probability-weighted average. Parentheses E(R) and brackets E[R] mean the same thing here. The subscript i identifies the investment or stock; m identifies the market. The subscript f in R𝒻 means risk-free.
The graph of the CAPM equation: beta on the horizontal axis and required return on the vertical axis. Its intercept is R𝒻 and its slope is MRP. Compare a separately estimated expected return with the CAPM benchmark using the same horizon and assumptions.
Market risk premium (MRP): —
Apple CAPM return: —
Walmart CAPM return: —
Moderna CAPM return: —
Custom stock CAPM return: —
Custom stock SML message: —
Apply core risk, return, diversification, and CAPM concepts to a practical investment decision.
Idea: CAPM says a stock’s expected or required return depends on the risk-free rate plus compensation for market risk.
Beta measures systematic risk, not total risk.
The SML starts at (β=0, Rf) and passes through (β=1, E[Rm]).
Use the supplied AAPL, WMT, NVDA, and S&P 500 return data. Follow the Excel walkthrough, reproduce the results and Security Market Line (SML), and submit your completed workbook for optional extra credit.
Follow the FIN509 step-by-step solutions for the 59 matched monthly returns from the September 2021–August 2026 price data. Watch on YouTube ↗
You can earn up to 100 additional points added to your Chapter 13 homework grade by completing this optional in-class exercise (ICE). Work through the supplied data in Excel, show your formulas and SML graph, and submit your own finished workbook on Blackboard.
MBA interpretation: Briefly interpret the correlations, compare the three stock betas, discuss diversification and systematic risk, and explain what the SML implies for expected returns.
These boxes are a personal review aid; check your own Excel file before submitting.
| Stock | Value | β |
|---|---|---|
| A | $50,000.00 | 0.9500 |
| B | $50,000.00 | 0.8000 |
| C | $50,000.00 | 1.0000 |
| D | $50,000.00 | 1.2000 |
| Total | $200,000.00 |
| State | Probability | Return |
|---|---|---|
| Recession | 10% | −30% |
| Below Average | 20% | −2% |
| Average | 40% | 10% |
| Above Average | 20% | 18% |
| Boom | 10% | 40% |
| Holding | Amount Invested | β |
|---|---|---|
| 8,000 shares of Stock A | $16,000 | 1.3 |
| 15,000 shares of Stock B | $48,000 | 1.8 |
| 25,000 shares of Stock C | $96,000 | 2.2 |
| Stock | Investment Value | β |
|---|---|---|
| A | $8,000 | 1.5 |
| B | $10,000 | 1.0 |
| C | $2,000 | 0.5 |
| Stock | Percentage of Portfolio | β |
|---|---|---|
| 1 | 20% | 1.0 |
| 2 | 30% | 0.5 |
| 3 | 50% | 1.6 |
| Holding | Amount Invested | β |
|---|---|---|
| 8,000 shares of Stock A | $10,000 | 1.5 |
| 15,000 shares of Stock B | $20,000 | 0.8 |
| 25,000 shares of Stock C | $20,000 | 1.2 |
Show your steps. Use Excel functions where appropriate:
SUMPRODUCT, STDEV/STDEV.S, CORREL, SLOPE.
| State of the Economy | Probability | Stock A’s Return |
|---|---|---|
| Recession | 10% | -30% |
| Below Average | 20% | -2% |
| Average | 40% | 10% |
| Above Average | 20% | 18% |
| Boom | 10% | 40% |
Answer: 8.2%
Answer: 15%
| State of Economy | Probability of State | Rate of Return if State Occurs |
|---|---|---|
| Boom | 27% | 14% |
| Normal | 70% | 8% |
| Recession | 3% | -11% |
Answer: 9.05%
| Month End | Price |
|---|---|
| January | $125.00 |
| February | $138.50 |
| March | $132.75 |
Answer: 2.12%
Answer: 11%
| Holding | Amount Invested | Beta |
|---|---|---|
| Stock A (8,000 shares) | $16,000 | 1.3 |
| Stock B (15,000 shares) | $48,000 | 1.8 |
| Stock C (25,000 shares) | $96,000 | 2.2 |
Answer: 1.99
Answer: 13%
| Stock | Investment Value | Beta |
|---|---|---|
| Stock A | $8,000 | 1.5 |
| Stock B | $10,000 | 1.0 |
| Stock C | $2,000 | 0.5 |
Answer: 1.15
Answer: 11.4%
| Stock | Percentage of Portfolio | Beta |
|---|---|---|
| 1 | 20% | 1.0 |
| 2 | 30% | 0.5 |
| 3 | 50% | 1.6 |
The risk-free rate is 3% and the market return is 10%.
| Period | Jazman | Solomon |
|---|---|---|
| 1 | $10 | $20 |
| 2 | $12 | $25 |
| 3 | $15 | $15 |
Answer: 50%, -25%
| State of the Economy | Probability | % Return (Cash Flow / Investment Cost) |
|---|---|---|
| Economic Recession | 30% | 5% |
| Strong and Moderate Economic Growth | 70% | 15% |
Answer: 12%
Answer: 1, 3, 2
| Holding | Amount Invested | Beta |
|---|---|---|
| Stock A (8,000 shares) | $10,000 | 1.5 |
| Stock B (15,000 shares) | $20,000 | 0.8 |
| Stock C (25,000 shares) | $20,000 | 1.2 |
Answer: 1.1
The additional FIN301-derived exercises below are optional foundation practice; verify graded FIN509 assignments and due dates in Blackboard.
New homework walkthrough with Natasha’s narration: work through all 15 questions, including expected returns, holding period returns, portfolio beta, CAPM, Excel formulas, and graphs. Pause to practice each question.
Watch Natasha’s 15-question homework walkthrough on YouTube ↗
Try three true/false practice quizzes. Each answer gives you immediate feedback.
Show your formula and steps first, then use these tools to check your answers.
Probability and return tables, including homework questions 1, 3, and 12.
Open calculator ↗Purchase price, dividends, and sale price for questions 2, 4, and 11.
Open calculator ↗Explore portfolio return and risk with two stocks in the chapter lesson.
Open calculator ↗For three-stock portfolio beta, multiply each investment weight by its beta and add the results.
Chapter 13 study help
Ask about return, risk, diversification, beta, CAPM, or a homework question.
I will use the prepared lesson answers and show you where to review the idea.
Ask Maggie uses prepared Chapter 13 answers and will not guess when a question does not match.
These videos are not required. I will introduce the ideas briefly in class. Watch them if you would like to see how diversification, beta, and CAPM can help you think through investment choices.
See how combining investments can change portfolio risk.
Apply required return to a possible stock choice.
Use real Apple, Moderna, and S&P 500 monthly prices to calculate returns and beta in Excel. The video also explains why beta differs from total risk, why a fuller estimate uses about 60 months, and where the Treasury rate enters CAPM.
MBA takeaway: evaluate both expected returns and covariance, distinguish diversifiable risk from market risk, and defend portfolio decisions using CAPM, factor exposures, risk-adjusted performance, and scenario analysis.
Ask two questions: What return do I expect, and what risk am I taking? Then select the tool that answers your question.
| Your situation | What to calculate | What it tells you |
|---|---|---|
| One stock | Expected return E(R) and standard deviation σ. Use HPR for a return already earned. | Expected return is the average outcome you anticipate; standard deviation measures total variability. If this is your only stock, both market risk and company-specific risk affect you. Beta alone does not capture all your risk. |
| Two stocks | Investment weights, portfolio expected return, and portfolio standard deviation using correlation ρ. | Check how the stocks move together. Correlation below +1 can reduce risk relative to the weighted average of the individual standard deviations. Two stocks do not automatically provide broad diversification. |
| Many stocks / a diversified portfolio | Portfolio beta βₚ = Σwᵢβᵢ; use standard deviation to describe remaining total portfolio variability. | Diversification reduces company-specific risk. Market risk remains; beta measures exposure to it. CAPM uses that exposure to estimate required return. |
| Is a stock’s forecast return enough for its market risk? | Find MRP, calculate CAPM required return, then compare your separate forecast expected return with that benchmark. | Above CAPM: potentially attractive / undervalued under the model. Below CAPM: potentially unattractive / overvalued. Equal: approximately fairly priced under the model. The conclusion depends on your forecasts and model assumptions. |
w is the fraction of your money in each stock; σ is its standard deviation; ρ₁₂ is the correlation between the two stocks’ returns. Portfolio risk is not simply the weighted average of the two standard deviations.
Optional enrichment: Watch if you would like to explore asset pricing models beyond CAPM. Learn what size, value, profitability, investment, and momentum mean, and follow a simple example showing why the model you choose changes measured outperformance.
Watch the optional video on YouTube ↗ · Liam narration · Captions
Apply core risk, return, diversification, and CAPM concepts to a practical investment decision.
Case: You advise a $10 million endowment. The board is evaluating a concentrated growth-stock portfolio versus a broad diversified portfolio. The growth strategy has higher assumed return but also greater volatility and beta. A recent market downturn has exposed liquidity needs and unstable correlations.
30% correct return/risk calculations; 25% diversification and correlation reasoning; 20% performance and factor interpretation; 15% stress-testing limitations; 10% communication and suitability. This exercise is supplemental and does not change the existing FIN509 homework requirements.
Choose a topic for an explanation. This is a built-in study guide, not a live generative-AI connection.