Mean, Median, Mode & Sharpe
Overview
Statistics are an important tool for evaluating the investment worthiness of a product or security. This chapter focuses on four common descriptive statistics:
- Mean
- Median
- Mode
- Range
It then reviews alpha, beta, and the Sharpe ratio.
🔑 Definitions at a glance
| Term | Definition | Example |
|---|---|---|
| Mean | The average value in a set | Returns 10%, 15%, 5%, -7% → mean 5.75% |
| Median | The middle value in a set after the values are ordered from lowest to highest | -7%, 5%, 10%, 15% → median 7.5% |
| Mode | The value that occurs most often | 10%, 15%, 5%, -7%, 10%, 8%, 12% → mode 10% |
| Range | The difference between the highest value and the lowest value | -7% to 15% → range 22% |
| Alpha | Measures whether a fund overperformed or underperformed its expected return | Actual +17%, expected +14% → alpha 3 |
| Beta | Volatility measure as compared to the market (benchmark index) | Beta 1.5 moves 1.5 times as much as the market |
| Sharpe ratio | Measures risk-adjusted returns for a security or portfolio | “Bang for the buck” — return per unit of risk |
Mean
The mean is the average value in a set.
🔑 To calculate the mean:
- Add up all the values.
- Divide by the number of values.
Mean = sum of all values ÷ number of values
Worked example
A security obtains annual returns of 10%, 15%, 5%, and -7% over the past four years. What is the mean of the annual returns?
Answer = 5.75%
Add the annual returns (10%, 15%, 5%, -7%) to get 23%. Then divide by the number of returns (4). 23% ÷ 4 = 5.75%
Median
The median is the middle value in a set after the values are ordered from lowest to highest.
🔑 To calculate the median:
- Put the values in order.
- If there’s an odd number of values, the median is the middle one.
- If there’s an even number of values, the median is the average of the two middle values.
Worked example — even number of values
A security obtains annual returns of 10%, 15%, 5%, and -7% over the past four years. What is the median of the annual returns?
Answer = 7.5%
First, order the returns from lowest to highest: -7%, 5%, 10%, 15% There are four values (an even number), so average the two middle values (5% and 10%). (5% + 10%) ÷ 2 = 7.5%
Worked example — odd number of values
A security obtains annual returns of 10%, 15%, 5%, -7%, and 3% over the past five years. What is the median of the annual returns?
Answer = 5%
First, order the returns from lowest to highest: -7%, 3%, 5%, 10%, 15% 5% is the middle value, so it’s the median.
Mode
The mode is the value that occurs most often.
- ⚠️ If no value repeats, there is no mode.
- If multiple values repeat, the mode is the one that repeats the most.
Worked example — no mode
A security obtains annual returns of 10%, 15%, 5%, and -7% over the past four years. What is the mode of the annual returns?
Answer = There is no mode
None of the returns repeat, so there is no mode.
Worked example — mode exists
A security obtains annual returns of 10%, 15%, 5%, and -7%, 10%, 8%, and 12% over the past seven years. What is the mode of the annual returns?
Answer = 10%
10% is the only value that repeats, so it’s the mode.
Range
The range is the difference between the highest value and the lowest value.
Range = highest value − lowest value
Worked example
A security obtains annual returns of 10%, 15%, 5%, and -7% over the past four years. What is the range of the annual returns?
Answer = 22%
First, order the returns from lowest to highest: -7%, 5%, 10%, 15% The lowest return is -7% and the highest return is 15%. The range is the difference between them: -7% - 15% = 22%
⚠️ The page’s final arithmetic line prints as “-7% - 15% = 22%”, which is the two endpoints written in the order they were just named rather than a correctly ordered subtraction. The arithmetic that produces the page’s own stated answer of 22% is highest − lowest = 15% − (-7%) = 22%. Use that orientation.
Alpha & beta
This section is a direct copy of what you already learned in the alpha and beta chapter. This should serve as a review.
Alpha
A common way to evaluate the effectiveness of a fund manager is by using alpha. Alpha measures whether a fund overperformed or underperformed its expected return.
If a question gives you the expected return, the calculation is straightforward.
🔑 Alpha formula (simple form)
Alpha = actual return − expected return
Worked example
An investor determines the expected return of a large-cap stock mutual fund over a year to be +14%. At the end of the year, the actual return was +17%. What is the fund’s alpha?
Alpha = 17% − 14% = 3
| Alpha value | Meaning |
|---|---|
| Positive | The fund outperformed expectations by that amount (a positive alpha of 3 means the fund outperformed expectations by 3%) |
| Zero | The fund met expectations |
| Negative | The fund underperformed by that amount |
Beta
More math-based alpha questions typically introduce another figure: beta.
| Beta | Meaning | Example (S&P 500 up 10%) |
|---|---|---|
| 1.0 | Historically had the same volatility as the market; generally moved with the market | Portfolio up 10% (10% × 1.0) |
| Above 1.0 | More volatile than the market. A beta of 1.5 moves 1.5 times as much as the market | Portfolio up 15% (10% × 1.5) |
| Between zero and 1.0 | Less volatile than the market. A beta of 0.5 moves at half the market’s pace | Portfolio up 5% (10% × 0.5) |
| Negative | Moves opposite to the market. A beta of -2.0 moves at twice the market’s pace, but in the opposite direction | Portfolio down 20% (10% × -2.0) |
The page’s summary table:
| S&P 500 return | Portfolio beta | Portfolio return |
|---|---|---|
| Up 10% | 1.0 | Up 10% |
| Up 10% | 1.5 | Up 15% |
| Up 10% | 0.5 | Up 5% |
| Up 10% | -2.0 | Down 20% |
Implied relationship: Expected return = beta × market return
Math-based question type 1 — inferring the market return
There are two types of math-based questions involving both alpha and beta to be aware of.
An investor is comparing two different funds in an investment analysis. BCD stock fund maintains a beta of 1.0, while TUV stock fund maintains a beta of 1.5. Last year, BCD stock fund’s performance was +14%, while TUV stock fund’s performance was +19%. What was TUV stock fund’s alpha last year?
Because alpha measures overperformance or underperformance, we need TUV’s actual return and its expected return.
- TUV’s actual return is given: +19%.
- TUV’s expected return is not stated directly.
The question includes BCD stock fund to help you infer the market return. Since BCD has a beta of 1.0, it has market-level volatility, so we can assume its return matches the market return. That implies the market return last year was +14%.
TUV has a beta of 1.5, meaning it has historically moved 1.5 times as much as the market (in the same direction, since beta is positive). So its expected return is:
Expected return = 1.5 × 14% = 21%
Now apply the alpha formula:
Alpha = actual return − expected return Alpha = 19% − 21% Alpha = -2
An alpha of -2 means TUV underperformed expectations by 2%.
🔑 Alpha formula (expanded form)
Alpha = (PR − RF) − (Beta × (MR − RF))
Where:
| Symbol | Meaning |
|---|---|
| PR | Portfolio return |
| RF | Risk-free return |
| MR | Market return |
- The portfolio return and market return are usually given in the question.
- The risk-free rate of return is the return on a relatively risk-free security. The most commonly cited risk-free security is the 3-month Treasury bill. It’s considered close to risk-free because of its short maturity and U.S. government backing, although all securities carry at least some risk.
Math-based question type 2 — expanded formula
An investor is analyzing the market and the returns of a small-cap stock fund held in their portfolio. The fund was up 28% while maintaining a beta of 2.5 last year. During the same year, the S&P 500 was up 10%, the Russell 2000 was up 14%, and the 3-month Treasury bill gained 2%. What is the small-cap stock fund’s alpha?
Answer: -4
Alpha = (PR − RF) − (Beta × (MR − RF)) Alpha = (28% − 2%) − (2.5 × (14% − 2%)) Alpha = 26% − (2.5 × 12%) Alpha = 26% − 30% Alpha = -4
This fund manager underperformed expectations by 4%, leading to an alpha of -4.
Trap in the question: both the S&P 500 and the Russell 2000 returns were provided, but only the Russell 2000 was used. Since the fund is a small-cap stock fund, you want the index that best matches (is most correlated with) small-cap performance. The S&P 500 is primarily large- and mid-cap stocks, while the Russell 2000 is a small-cap stock index. Therefore, the S&P 500 should be disregarded.
Active vs. passive management
- 📌 Alpha is most relevant when evaluating an actively managed fund because active managers aim to outperform a benchmark (a relevant market index). For example, if a small-cap stock fund manager tries to beat the Russell 2000 by selecting small-cap stocks, alpha helps measure whether those choices added value.
| Fund type | Expected alpha | Expected beta |
|---|---|---|
| Actively managed | Alpha is the key measure — managers aim to outperform the benchmark | — |
| Passively managed | Alpha near zero (designed to match their benchmarks; they don’t meaningfully overperform or underperform) | Beta near 1 (they tend to move with market volatility) |
Sharpe ratio
We initially covered the Sharpe ratio in a previous chapter.
This ratio measures risk-adjusted returns for a security or portfolio. In plain terms, it measures “bang for the buck,” or investment efficiency: how much return you’re getting for the amount of risk you’re taking.
🔑 Formula
Sharpe ratio = (Actual return − Risk free rate) ÷ Standard deviation
⚠️ Reconstructed fraction. The page’s text extraction flattens fractions and prints the denominator first — it renders as “Sharpe ratio = Standard deviation / Actual return - Risk free rate”. The correct orientation is (actual return − risk-free rate) over standard deviation, confirmed by the page’s own interpretation that a higher Sharpe ratio means more efficiency (more return per unit of risk) — which only holds when standard deviation is the denominator.
Components:
| Component | Definition |
|---|---|
| Risk-free rate of return | Equal to the 91-day (3-month) Treasury bill rate |
| Standard deviation | Measures how far a security’s returns deviate from its average return. Higher standard deviation generally means more volatility |
- The higher the Sharpe ratio, the more efficient the security or portfolio (more return per unit of risk).
- 📌 It’s unlikely you’ll be asked to calculate the Sharpe ratio on the exam, but you may see questions about what the ratio measures or what each part of the formula represents.
Key points
Mean
- Average of relevant factors
Median
- Middle number in a set of factors
Mode
- Most frequently recurring factor
Range
- Difference between lowest and highest factor
Alpha
- Measures over or underperformance of a portfolio or security
- Positive alpha = overperformance
- Zero alpha = meeting expectations
- Negative alpha = underperformance
Beta
- Volatility measure as compared to the market (benchmark index)
Sharpe ratio
- Measures risk-adjusted return of security portfolio
- 🔑 Sharpe ratio = (Actual return − Risk free rate) ÷ Standard deviation ⚠️ (reconstructed from the page’s flattened “Sharpe ratio = Standard deviation / Actual return - Risk free rate”)
Sources
Primary/official references for the material in this chapter. Every link was fetched and returned HTTP 200 on 2026-08-15.
| # | Source | Publisher |
|---|---|---|
| 1 | e-Handbook of Statistical Methods — mean, median, dispersion | NIST/SEMATECH |
| 2 | Markowitz/Sharpe — portfolio theory and CAPM, the source work | Nobel Prize |
| 3 | Achievable Series 65 — chapter 3.4 | Achievable (course text) |