Mastering Expected Return: Your Guide to Investment Insights

Unlock the secrets behind expected return and learn how to maximize your investment strategies with this practical guide.

What is Expected Return?

Expected return represents the profit or loss that an investor anticipates earning on an investment, calculated by multiplying potential outcomes by their respective probabilities and summing these results.

Key Takeaways

  • The expected return predicts the probable profit or loss from an investment.
  • It’s calculated by combining potential outcomes and their probabilities.
  • Although expected returns offer insight, they cannot be guaranteed.
  • The expected return for a diversified portfolio is the weighted average of the individual expected returns of its components.

Understanding Expected Return

Expected return calculations play a crucial part in financial decision-making and theories, such as the Modern Portfolio Theory and various options pricing models. For instance, an investment with a 50% chance of gaining 20% and a 50% chance of losing 10% has an expected return of 5% (50% x 20% + 50% x -10%).

Additionally, expected return helps in evaluating whether an investment is likely to result in overall gain or loss, particularly through its expected value (EV):

Expected Return = Σ (Returnᵢ x Probabilityᵢ)

where ᵢ represents each known return and its probability in the data series.

Usually, expected returns are based on historical data, making them useful estimates yet inherently uncertain due to both systematic and unsystematic risks that can affect future performance.

Calculating Expected Return

For individual investments or portfolios, the equation for expected return takes a broader context:

Expected return = risk-free rate + Beta (expected market return - risk-free rate).

Where:

  • rₐ = expected return
  • rₓ= risk-free rate
  • β = beta (relative volatility)
  • rm= market return

This informs us that excess returns above the risk-free rate depend on the investment’s beta, reflecting its market volatility.

Limitations of Expected Return

Relying solely on expected return calculations is risky because it doesn’t incorporate the potential variability or risk. Examining standard deviation alongside expected return can offer a broader understanding of investment risk.

For example, consider two hypothetical investments:

  1. Investment A: Annual returns of 12%, 2%, 25%, -9%, 10%.
  2. Investment B: Annual returns of 7%, 6%, 9%, 12%, 6%.

Both have an 8% expected return, but differ considerably in risk, as seen through their standard deviations: 11.26% for Investment A and only 2.28% for Investment B.

Expected Return Example

Expected return can be calculated for portfolios as a weighted average of individual expected returns. Imagine a tech-focused portfolio:

  • Alphabet Inc.: $500,000 with 15% expected return
  • Apple Inc.: $200,000 with 6% expected return
  • Amazon.com Inc.: $300,000 with 9% expected return

Given a total portfolio value of $1 million, the expected return is:

(50% x 15%) + (20% x 6%) + (30% x 9%) = 11.4%

How Is Expected Return Used in Finance?

Expected return is essential for financial models and investment theory, helping determine whether investments have a positive or negative net outcome based on historical data and shaping future expectations.

What Are Historical Returns?

Historical returns reveal past performance of an asset, aiding in predicting future performance and assessing how a security might react under varied economic scenarios.

How Does Expected Return Differ From Standard Deviation?

Expected return provides a projected performance estimate, while standard deviation measures the historical volatility around this projection, highlighting risk.

The Bottom Line

Expected return gives a valuable performance estimate for an investment or portfolio, balancing potential gains against risks. It’s a crucial tool for comparing investment options and aligning them with your financial goals.

Related Terms: Modern Portfolio Theory, Standard Deviation, Risk-Free Rate, Beta, Capital Asset Pricing Model.

References

  1. Professor Eric Zivot, University of Washington. “Chapter 1, Introduction to Portfolio Theory”.
  2. Professor Bruce C. Dieffenbach, University at Albany. “Financial Economics: Black-Scholes Option Pricing”.
  3. Riaz Hussain, University of Scranton. “3. Basics of Portfolio Theory”.

Get ready to put your knowledge to the test with this intriguing quiz!

--- primaryColor: 'rgb(121, 82, 179)' secondaryColor: '#DDDDDD' textColor: black shuffle_questions: true --- ## What does the "expected return" represent in finance? - [ ] The guaranteed return on an investment - [ ] The highest possible return an investment could make - [x] The anticipated return based on probabilities of different outcomes - [ ] The average past return of an investment ## Which calculation is needed to determine the expected return of a single investment? - [ ] Multiplying each potential return by its probability and summing these values - [ ] Averaging the past returns of the investment - [x] Weighing each potential return by its probability and summing these weighted values - [ ] Subtracting the standard deviation from the mean return ## What does the concept of "expected return" primarily help investors with? - [ ] Eliminating investment risk - [ ] Tracking market trends - [x] Making informed assessments of future investment performance - [ ] Guaranteeing specific investment outcomes ## In the context of a portfolio, how is the expected return generally calculated? - [ ] By averaging the returns of all assets in the portfolio - [x] By taking the weighted average of each asset's expected return based on its proportion in the portfolio - [ ] By using the historical returns of the portfolio - [ ] By summing the returns of all assets in the portfolio ## Which term closely relates to expected return and accounts for uncertainty? - [ ] Profit margin - [ ] Gross income - [x] Standard deviation - [ ] Net asset value ## How does diversification impact the expected return of a portfolio? - [ ] It guarantees higher returns - [ ] It homogenizes all individual asset returns - [x] It can maintain or slightly alter the expected return while reducing risk - [ ] It eliminates market volatility ## When measuring expected return, what is typically plotted on the X-axis? - [ ] Potential returns - [x] Possible outcomes with assigned probabilities - [ ] Investment durations - [ ] Risk levels ## For a highly volatile asset, what can be said about its expected return? - [ ] Its expected return is consistent and predictable - [ ] It has no significant expected return due to volatility - [x] The range of outcomes around the expected return is broader - [ ] It generally has a lower expected return ## Why is expected return not always an accurate measure of future performance? - [ ] It ignores historical performance - [ ] It relies solely on current market conditions - [x] It is based on probabilities and assumptions, which may not materialize - [ ] It foresees specific higher returns ## When comparing two investments, how can expected return be used? - [ ] To determine the safest investment option - [ ] To choose the investment with the least volatility - [x] To evaluate potential future gains based on different risk profiles - [ ] To project guaranteed returns