Risk and Rates of Return: Stand-Alone Risk, Portfolio Risk, and the Capital Asset Pricing Model (CAPM)

1. What is investment risk?

Investment risk means the chance that you might make less money than expected or actually lose money.

Imagine three places you could put your $100.

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Option A: A very safe investment

You put in $100 and expect to get $103 back.

Low risk

You know approximately what you're going to get.

X

Option B: A risky investment

You put in $100. You might get $120, but you could also end up with $70.

High risk

You could make more money, but you could lose more too.

Remember: More risk does not guarantee more money. It just means the outcome is less certain.

2. The two types of investment risk

Your notes describe two ways to think about risk.

  • Stand-alone risk: How risky is one investment by itself?

  • Portfolio risk: How risky are all your investments when you put them together?

Imagine you have only one basketball player on your team. If he has a bad game, your whole team struggles. That's like stand-alone risk.

Now imagine you have a whole team of players with different strengths. If one has a bad game, the others might help. That's like portfolio risk.

A portfolio is simply a collection of investments.

3. Probability: What are the chances?

Probability means the chance that something will happen.

Imagine a company could experience five different economic situations:

Economic situation

Chance it happens

Recession

10%

Below average

20%

Average

40%

Above average

20%

Boom

10%

Total

100%

Think of it like a spinner with 100 spaces. Ten spaces represent a recession, 20 represent below-average conditions, and so on.

The chances must add up to 100% because these five situations cover all the possible outcomes in this example.

What is a probability distribution?

It's just a chart or list showing:

  1. What could happen.

  2. How likely each outcome is.

Your notes also mention that a narrow group of outcomes means lower risk, while outcomes spread far apart mean higher risk.

For example, earning between $2 and $4 is more predictable than possibly earning $30 or losing $25.

4. Expected rate of return: How much money do you expect to make?

The expected rate of return is the average return you expect from an investment after considering all the possible outcomes and their chances.

Imagine you are choosing an investment called High Tech.

Economy

Chance

High Tech return

Recession

10%

−29.5%

Below average

20%

−9.5%

Average

40%

12.5%

Above average

20%

27.5%

Boom

10%

42.5%

You can't just add these five returns and divide by five because some situations are more likely than others.

For example, an average economy has a 40% chance of happening, so it matters more than a recession with only a 10% chance.

The formula is:

\[ \hat r=\sum P_i r_i \]

Don't let the symbols scare you!

  • \(P_i\) = the probability, or chance, of something happening.

  • \(r_i\) = the return you would earn in that situation.

  • \(\hat r\) = the expected return.

Let's calculate it together

Multiply each return by its probability, then add everything together.

\[ \begin{aligned} \hat r={}&0.1(-29.5)+0.2(-9.5)\\ &+0.4(12.5)+0.2(27.5)\\ &+0.1(42.5) \end{aligned} \]

\[ =-2.95-1.90+5.00+5.50+4.25 \]

\[ \boxed{\hat r=9.9\%} \]

That means High Tech has an expected return of 9.9%.

If you invested $100, that would mean an expected gain of $9.90, or 109.90total,overtheperiodbeingmeasured.Itisanaverageexpectation,notaguarantee.</p><h3id="1698c9e8−4005−4b68−97f6−00dfc1f36794"data−toc−id="1698c9e8−4005−4b68−97f6−00dfc1f36794"collapsed="false"seolevelmigrated="true">5.Standarddeviation:Howunpredictableistheinvestment?</h3><p>Thisisoneofthemostimportantconceptsinyournotes.</p><p>Standarddeviationmeasureshowspreadoutthepossiblereturnsare.</p><p>Thinkabouttwostudentstakingatest.</p><ul><li><p>StudentAscores79,80,and81.</p></li><li><p>StudentBscores40,80,and120.</p></li></ul><p>Bothaverage80,butStudentB′sresultsaremuchmorespreadout.</p><p>Investmentsworksimilarly.</p><ul><li><p>Lowstandarddeviation:Returnsaremorepredictable.</p></li><li><p>Highstandarddeviation:Returnsaremoreunpredictable.</p></li></ul><p>Yournotesgivetheseexamples:</p><tablestyle="min−width:75px;"><colgroup><colstyle="min−width:25px;"><colstyle="min−width:25px;"><colstyle="min−width:25px;"></colgroup><tbody><tr><thcolspan="1"rowspan="1"><p>Investment</p></th><thcolspan="1"rowspan="1"><p>Expectedreturn</p></th><thcolspan="1"rowspan="1"><p>Standarddeviation</p></th></tr><tr><tdcolspan="1"rowspan="1"><p>T−Bills</p></td><tdcolspan="1"rowspan="1"><p>3.0109.90 total, over the period being measured. It is an average expectation, not a guarantee.</p><h3 id="1698c9e8-4005-4b68-97f6-00dfc1f36794" data-toc-id="1698c9e8-4005-4b68-97f6-00dfc1f36794" collapsed="false" seolevelmigrated="true">5. Standard deviation: How unpredictable is the investment?</h3><p>This is one of the most important concepts in your notes.</p><p>Standard deviation measures how spread out the possible returns are.</p><p>Think about two students taking a test.</p><ul><li><p>Student A scores 79, 80, and 81.</p></li><li><p>Student B scores 40, 80, and 120.</p></li></ul><p>Both average 80, but Student B's results are much more spread out.</p><p>Investments work similarly.</p><ul><li><p>Low standard deviation: Returns are more predictable.</p></li><li><p>High standard deviation: Returns are more unpredictable.</p></li></ul><p>Your notes give these examples:</p><table style="min-width: 75px;"><colgroup><col style="min-width: 25px;"><col style="min-width: 25px;"><col style="min-width: 25px;"></colgroup><tbody><tr><th colspan="1" rowspan="1"><p>Investment</p></th><th colspan="1" rowspan="1"><p>Expected return</p></th><th colspan="1" rowspan="1"><p>Standard deviation</p></th></tr><tr><td colspan="1" rowspan="1"><p>T-Bills</p></td><td colspan="1" rowspan="1"><p>3.0%</p></td><td colspan="1" rowspan="1"><p>0.0%</p></td></tr><tr><td colspan="1" rowspan="1"><p>Collections</p></td><td colspan="1" rowspan="1"><p>1.2%</p></td><td colspan="1" rowspan="1"><p>11.2%</p></td></tr><tr><td colspan="1" rowspan="1"><p>Market Portfolio</p></td><td colspan="1" rowspan="1"><p>8.0%</p></td><td colspan="1" rowspan="1"><p>15.2%</p></td></tr><tr><td colspan="1" rowspan="1"><p>U.S. Rubber</p></td><td colspan="1" rowspan="1"><p>7.3%</p></td><td colspan="1" rowspan="1"><p>18.8%</p></td></tr><tr><td colspan="1" rowspan="1"><p>High Tech</p></td><td colspan="1" rowspan="1"><p>9.9%</p></td><td colspan="1" rowspan="1"><p>20.0%</p></td></tr></tbody></table><p>High Tech has the highest standard deviation, so its returns are the most spread out among these alternatives.</p><p>T-Bills have a standard deviation of zero in this example because their return stays at 3% in every listed economic situation.</p><h4 id="3642e021-46dc-423f-b66a-5aafa392a523" data-toc-id="3642e021-46dc-423f-b66a-5aafa392a523" collapsed="false" seolevelmigrated="true">What do variance and standard deviation mean?</h4><p>Your notes show two formulas:</p><p>\[ \text{Variance}=\sigma^2 \]</p><p>\[ \text{Standard deviation}=\sigma=\sqrt{\text{Variance}} \]</p><p>Variance is a calculation used to measure how spread out returns are. Standard deviation is the square root of variance, which makes the measure easier to interpret in the same units as the returns.</p><p>For your class, remember:</p><p>Standard deviation goes up = investment risk goes up, when comparing stand-alone risk.</p><h3 id="97577070-c230-4a87-836d-e96dd2979796" data-toc-id="97577070-c230-4a87-836d-e96dd2979796" collapsed="false" seolevelmigrated="true">6. Coefficient of variation (CV): How much risk are you taking for your return?</h3><p>Imagine two investments:</p><ul><li><p>Investment A earns an expected 10% with a standard deviation of 20%.</p></li><li><p>Investment B earns an expected 5% with a standard deviation of 20%.</p></li></ul><p>Both have the same amount of variation, but Investment B offers a lower expected return for that risk.</p><p>The coefficient of variation helps you compare risk relative to the expected return.</p><p>\[ \boxed{CV=\frac{\sigma}{\hat r}} \]</p><p>In plain English:</p><p>CV = standard deviation ÷ expected return</p><p>Using your notes' examples:</p><table style="min-width: 75px;"><colgroup><col style="min-width: 25px;"><col style="min-width: 25px;"><col style="min-width: 25px;"></colgroup><tbody><tr><th colspan="1" rowspan="1"><p>Investment</p></th><th colspan="1" rowspan="1"><p>CV</p></th><th colspan="1" rowspan="1"><p>Meaning</p></th></tr><tr><td colspan="1" rowspan="1"><p>T-Bills</p></td><td colspan="1" rowspan="1"><p>0.0</p></td><td colspan="1" rowspan="1"><p>Lowest relative risk in this example</p></td></tr><tr><td colspan="1" rowspan="1"><p>Market Portfolio</p></td><td colspan="1" rowspan="1"><p>1.9</p></td><td colspan="1" rowspan="1"><p>Moderate relative risk</p></td></tr><tr><td colspan="1" rowspan="1"><p>High Tech</p></td><td colspan="1" rowspan="1"><p>2.0</p></td><td colspan="1" rowspan="1"><p>Higher relative risk</p></td></tr><tr><td colspan="1" rowspan="1"><p>U.S. Rubber</p></td><td colspan="1" rowspan="1"><p>2.6</p></td><td colspan="1" rowspan="1"><p>Higher risk per unit of return</p></td></tr><tr><td colspan="1" rowspan="1"><p>Collections</p></td><td colspan="1" rowspan="1"><p>9.8</p></td><td colspan="1" rowspan="1"><p>Highest relative risk</p></td></tr></tbody></table><p>A higher CV means more risk for each unit of expected return, assuming the expected returns are positive.</p><p>Collections has a very high CV because its expected return is only 1.2%, while its standard deviation is 11.2%.</p><h3 id="c985af93-988b-4b0e-ae76-2d804f55b561" data-toc-id="c985af93-988b-4b0e-ae76-2d804f55b561" collapsed="false" seolevelmigrated="true">7. Sharpe ratio: How much extra return do you get for taking risk?</h3><p>Imagine you can earn 3% from a relatively safe investment.</p><p>Another investment offers 9%, but it is much riskier.</p><p>The Sharpe ratio asks: How much extra return are you getting for the risk you take?</p><p>The formula is:</p><p>\[ \boxed{\text{Sharpe ratio}= \frac{\hat r-r_{RF}}{\sigma}} \]</p><p>Where:</p><ul><li><p>\(\hat r\) = expected return.</p></li><li><p>\(r_{RF}\) = risk-free rate used in the example.</p></li><li><p>\(\sigma\) = standard deviation.</p></li></ul><p>For High Tech:</p><p>\[ \frac{9.9\%-3.0\%}{20.0\%} =\boxed{0.345} \]</p><p>High Tech earns an expected 6.9 percentage points above the 3% risk-free rate. The Sharpe ratio compares that extra return with its risk.</p><p>Generally, a higher Sharpe ratio is better because you receive more extra return for each unit of risk.</p><h3 id="087d44bd-9d06-43f6-8709-0671a33a875a" data-toc-id="087d44bd-9d06-43f6-8709-0671a33a875a" collapsed="false" seolevelmigrated="true">8. Risk aversion: Why do people want more money for taking risks?</h3><p>Imagine I offer you two choices:</p><ul><li><p>Choice A: I'll give you100 for sure.

  • Choice B: You might receive $150, but you might receive only $50.

  • Some people might choose B. Others would rather take the guaranteed 100.

    Risk aversion means preferring less risk and requiring compensation to accept additional risk.

    That extra compensation is called the risk premium.

    \[ \text{Risk premium}= \text{Risky investment return} -\text{Risk-free return} \]

    If a safe investment earns 3% and a risky investment is expected to earn 8%, the risk premium is:

    \[ 8\%-3\%=\boxed{5\%} \]

    The extra 5 percentage points are the reward investors expect for accepting risk.

    9. Diversification: Don't put all your eggs in one basket!

    Many color of egg in basket

    Diversification means spreading your money across different investments instead of putting everything into one.

    Imagine you invest 100:

    • $50 in High Tech.

    • $50 in Collections.

    High Tech tends to do well when the economy is booming but poorly during recessions. Collections behaves in the opposite way in the example from your notes.

    That means one investment may help offset losses in the other.

    Your notes calculate the portfolio's expected return like this:

    \[ \begin{aligned} \hat r_p&=0.5(9.9\%)+0.5(1.2\%)\\ &=\boxed{5.5\%} \end{aligned} \]

    The portfolio's standard deviation is only 4.6%, compared with 20.0% for High Tech and 11.2% for Collections individually.

    The big lesson: Combining investments can reduce risk without necessarily reducing expected return by the same amount.

    This works especially well when the investments don't move together.

    What is correlation?

    Correlation tells you how two investments move in relation to each other.

    Perfect positive correlation: +1

    Both investments move together. Diversification doesn't reduce risk in this case.

    Perfect negative correlation: −1

    They move in opposite directions. With the right proportions, their movements can cancel out completely.

    Partial correlation: between −1 and +1

    They sometimes move together and sometimes differently. Diversification can reduce risk, but usually cannot eliminate it.

    Two kinds of risk

    Your notes divide total stand-alone risk into two parts:

    \[ \text{Total risk}= \text{Market risk}+\text{Diversifiable risk} \]

    • Market risk (systematic risk): Risk that affects the overall market, such as recessions, inflation, and interest-rate changes. Diversification cannot eliminate it.

    • Diversifiable risk (company-specific risk): Risk affecting a particular company, such as a lawsuit, strike, or failed product. Diversification can reduce it.

    This is why owning several different investments is generally better than owning just one stock.

    10. Beta: How risky is a stock compared with the overall market?

    Beta measures how much a stock tends to move when the overall market moves.

    Think of the market as a roller coaster.

    • Beta = 1.0: The stock has average market risk.

    • Beta greater than 1.0: The stock tends to move more than the market.

    • Beta less than 1.0: The stock tends to move less than the market.

    • Negative beta: The stock tends to move in the opposite direction of the market.

    Examples from your notes:

    Investment

    Beta

    Simple meaning

    High Tech

    1.31

    More market-sensitive

    Market Portfolio

    1.00

    Average market risk

    U.S. Rubber

    0.88

    Less market-sensitive

    T-Bills

    0.00

    No market risk in this model

    Collections

    −0.50

    Tends to move opposite the market

    Important: Beta measures market risk, not every kind of risk. A stock can have a low beta but still have company-specific problems.

    11. CAPM: Calculating the return investors require

    CAPM stands for the Capital Asset Pricing Model.

    The name sounds complicated, but the idea is simple:

    If an investment is riskier compared with the market, investors usually demand a higher return.

    The formula is:

    \[ \boxed{r_i=r_{RF}+(r_M-r_{RF})b_i} \]

    Here is what each part means:

    • \(r_i\) = required return on the investment.

    • \(r_{RF}\) = risk-free rate.

    • \(r_M\) = required return on the overall market.

    • \(b_i\) = the investment's beta.

    • \(r_M-r_{RF}\) = market risk premium.

    Your notes give these values:

    • Risk-free rate = 3%.

    • Market return = 8%.

    • Market risk premium = \(8\%-3\%=5\%\).

    Example: High Tech

    High Tech has a beta of 1.31.

    Step 1: Write the formula.

    \[ r_i=r_{RF}+(r_M-r_{RF})b_i \]

    Step 2: Put in the numbers.

    \[ r_i=3\%+(5\%)(1.31) \]

    Step 3: Multiply and add.

    \[ r_i=3\%+6.55\% \]

    \[ \boxed{r_i=9.55\%} \]

    This means investors would require a return of 9.55% to compensate them for High Tech's market risk, using the assumptions in your notes.

    12. The Security Market Line (SML)

    The Security Market Line is a graph showing the relationship between beta and required return.

    Think of it as a line that tells you how much return investors demand for different levels of market risk.

    • Higher beta → higher required return.

    • Lower beta → lower required return.

    Your notes also explain two things that can change the line:

    If expected inflation increases: The risk-free rate increases, shifting the whole line upward if the market risk premium stays constant.

    If investors become more afraid of risk: The market risk premium increases, making the line steeper. High-beta investments experience a larger increase in required return.

    13. Undervalued vs. overvalued stocks

    This is one of the most important things to understand for exam questions.

    Compare two numbers:

    • Expected return: What you think the investment will earn.

    • Required return: What it needs to earn to compensate you for its risk.

    Comparison

    Meaning

    Decision in your notes

    Expected return > Required return

    The investment offers more return than required

    Undervalued — attractive to buy

    Expected return = Required return

    The investment offers exactly the required return

    Fairly valued

    Expected return < Required return

    The investment offers less return than required

    Overvalued — unattractive to buy

    Example

    Suppose a stock is expected to earn 12%, but investors require only 9%.

    The stock offers more return than required.

    \[ 12\%>9\% \]

    Therefore, it is undervalued under the model in your notes.

    Now suppose another stock is expected to earn 6%, but investors require 9%.

    \[ 6\%<9\% \]

    That stock is overvalued under the model.

    The logic is that an investment offering too little return for its risk is not attractive at its current price.