Expected Return vs. Standard Deviation: What's the Difference? (2024)

Expected Return vs. Standard Deviation: An Overview

As an investor, you may want some assurance that your money will grow and net you a profit. While it may be difficult to predict exactly how much you may earn, there are a few ways that you can try to determine your return. An expected return and a standard deviation are two statistical measures that investors can use to analyze their portfolios. The expected return is the anticipated amount of returns that a portfolio may generate, whereas the standard deviation of a portfolio measures the amount that the returns deviate from its mean.

Key Takeaways

  • Investors and portfolio managers can calculate the anticipated values of their portfolios by using the expected return and standard deviation.
  • Expected return uses historical returns and calculates the mean of an anticipated return based on the weighting of assets in a portfolio.
  • Standard deviation takes into account the expected mean return and calculates the deviation from it.
  • Investors should be cautious about relying solely on expected returns and standard deviation to evaluate their portfolios.
  • Other factors to consider include economic conditions, market sentiment, and interest rates.

An investor's expected return is the total amount of money they expect to gain or lose on a particular investment or portfolio. Investors commonly use the expected return to help them make key decisions on whether to invest in new vehicles or continue to hold on to their existing investments.

The expected return is generally based on historical returns. As such, it doesn't indicate the potential for future performance and shouldn't be used as the only decision-making tool. This metric can, however, give investors a reasonable expectation of what they may expect in the short- and long-run.

An investment's expected return is able to measure the mean, or expected value, of the probability distribution of investment returns. It is commonly seen with hedge fund and mutual fund managers, whose performance on a particular stock isn't as important as their overall return for their portfolio.

Calculating Expected Return

The expected return is calculated by multiplying the weight of each asset by its expected return. Then add the values for each investment to get the total expected return for your portfolio. Hence, the formula:

Expected Portfolio Return = (Asset 1 Weight x Expected Return) + (Asset 2 Weight x Expected Return)...


Now let's use a hypothetical example to show how to apply the formula. The table below shows a portfolio with three different investments, each with different weightings and expected returns.

AssetWeightExpected Return
A35%6%
B25%7%
C40%10%

The expected return of the overall portfolio would be 7.85%. We arrive at this result by using the formula above:

(35% x 6%) + (25% x 7%) + (40% x 10%) = 7.85%

An investor uses an expected return to forecast, and standard deviation to discover what is performing well and what is not.

The standard deviation of a portfolio measures how much the investment returns deviate from the mean of the probability distribution of investments. Put simply, it tells investors how much the investment will deviate from its expected return. As such, investors can use this metric to help determine an investment or portfolio's annual return by considering its historical volatility.

It is a common calculation used to judge the realized performance of a portfolio manager. This means that a fund company may calculate the risk of employing a portfolio manager who deviates too far from the mean in a negative direction, especially for large funds that have multiple managers with different investing styles. This can go the other way as well, and a portfolio manager who outperforms their colleagues and the market can often expect a hefty bonus for their performance.

Using the standard deviation helps measure both market and security volatility. This allows the investor or manager to predict trends in the investment's performance. A higher standard deviation means there's a higher variable between prices and the mean. Put simply, an investment with higher volatility means a higher standard deviation, so there are more risks and rewards.

Calculating Standard Deviation

The standard deviation of a two-asset portfolio is calculated as follows:

σP= √(wA2 * σA2+ wB2 * σB2+ 2 * wA * wB * σA * σB * ρAB)

Where:

  • σP= portfolio standard deviation
  • wA = weight of asset A in the portfolio
  • wB= weight of asset B in the portfolio
  • σA= standard deviation of asset A
  • σB= standard deviation of asset B; and
  • ρAB= correlation of asset A and asset B

For example, consider a two-asset portfolio with equal weights, standard deviations of 20% and 30%, respectively, and a correlation of 0.40. Therefore, the portfolio standard deviation is:

[√(0.5² x 0.22 + 0.5² x 0.32 + 2 x 0.5 x 0.5 x 0.2 x 0.3 x 0.4)] = 21.1%

The expected return and standard deviation of an investment are just two methods that investors can use to help evaluate the future performance of investments and portfolios. These calculations are generally easy and straightforward. But they shouldn't be the only thing investors use to make their investment decisions.

One reason is that many mathematical formulas use historical returns as the basis of calculation. As such, they may not be a reliable way to indicate future performance. Put simply, just because an investment did well last year doesn't mean that it will continue to do so next year.

With this in mind, other considerations can also come into play that may cause investments to deviate from the outcomes that result from using these formulas. These include:

  • Changes in the economy
  • Financial market conditions
  • Market sentiment and expectations
  • Interest rates and currency risks
  • Availability and productivity of capital
  • Other factors, such as labor costs, policies, regulations, and taxation

Is Expected Return the Same As Standard Deviation?

The expected return is one method investors can use to help measure the potential for investment returns. This figure is based on historical returns. Standard deviation, on the other hand, measures the extent to which an investment's return deviates from the expected return. More volatile investments (those that have bigger risks) have a higher standard deviation (and higher rewards).

How Do You Calculate Expected Return?

Expected returns are based on historical returns. Take the individual investments in your portfolio and multiply their weighting by their expected return. Add the result for each investment together to get the expected result of your portfolio.

How Do You Calculate Standard Deviation?

In order to calculate standard deviation, figure out the mean or the average in the data set. For each of those numbers square the result. Once that's done, determine the mean of each of those squared differences, then take the square root of that figure. The result is the standard deviation.

Does a Higher Standard Deviation Mean a Higher Expected Return?

More volatile investments tend to have higher returns. An investment with a higher standard deviation means it will be more risky and volatile. Therefore, the expected return should also be higher.

Expected Return vs. Standard Deviation: What's the Difference? (2024)

FAQs

Expected Return vs. Standard Deviation: What's the Difference? ›

The expected return is the anticipated amount of returns that a portfolio may generate, whereas the standard deviation of a portfolio measures the amount that the returns deviate from its mean.

What is expected return and standard deviation sums? ›

Answer a Expected return =sum of (Probability*Return) Variance formula = Sum of (Probability * (Actual return - Expected return)^2) Standard deviation formula = √ Variance Calculation of expected return and standard deviation of stock A …

What is the difference between expected return and variance? ›

An investment that is aggressive typically features a higher expected return, but also a higher variance. Variance is calculated by calculating an expected return and summing a weighted average of the squared deviations from the mean return.

What is the relationship between risk and return standard deviation? ›

A higher standard deviation indicates a higher risk. It can also indicate a possible range of returns or outcomes for a stock, where: Within one standard deviation lies 68% of data. Within two standard deviations lie 95% of data.

What is standard deviation divided by expected return? ›

The coefficient of variation, calculated as the standard deviation of expected returns divided by the expected return, is a good or a standardized measure of the risk per unit of expected return.

Is expected return same as standard deviation? ›

The expected return is the anticipated amount of returns that a portfolio may generate, whereas the standard deviation of a portfolio measures the amount that the returns deviate from its mean.

Is expected value the same as standard deviation? ›

The expected value, or mean, of a discrete random variable predicts the long-term results of a statistical experiment that has been repeated many times. The standard deviation of a probability distribution is used to measure the variability of possible outcomes.

How do you calculate the expected return? ›

The expected return is calculated by multiplying the probability of each possible return scenario by its corresponding value and then adding up the products. The expected return metric – often denoted as “E(R)” – considers the potential return on an individual security or portfolio and the likelihood of each outcome.

What is the difference between the standard deviation and the variance? ›

Variance is the average squared deviations from the mean, while standard deviation is the square root of this number. Both measures reflect variability in a distribution, but their units differ: Standard deviation is expressed in the same units as the original values (e.g., minutes or meters).

What is the difference between expected return and actual return? ›

Actual return can be calculated using the beginning and ending asset values for the period and any investment income earned during the period. Expected return is the average return the asset has generated based on historical data of actual returns.

What does standard deviation tell us? ›

A standard deviation (or σ) is a measure of how dispersed the data is in relation to the mean. Low, or small, standard deviation indicates data are clustered tightly around the mean, and high, or large, standard deviation indicates data are more spread out.

What does standard deviation tell us about returns? ›

Standard deviation can show the consistency of an investment's return over time. A fund with a high standard deviation shows price volatility. A fund with a low standard deviation tends to be more predictable.

Does higher standard deviation mean more risk? ›

The higher the standard deviation, the riskier the investment. When using standard deviation to measure risk in the stock market, the underlying assumption is that the majority of price activity follows the pattern of a normal distribution.

What is considered a high standard deviation? ›

Any standard deviation value above or equal to 2 can be considered as high. In a normal distribution, there is an empirical assumption that most of the data will be spread-ed around the mean. In other words, whenever you go far away from the mean, the number of data points will decrease.

What is a good standard deviation for a stock? ›

While 95% of the time, investors can reasonably assume that a stock's price will stay within two standard deviations of the mean, this is still a decent-sized range. The key idea to remember is that more potential outcomes, the more potential risk.

How to calculate standard deviation given probability and expected return? ›

To calculate the standard deviation (σ) of a probability distribution, find each deviation from its expected value, square it, multiply it by its probability, add the products, and take the square root.

How do you find the expected number and standard deviation? ›

Formula Review
  1. Mean or Expected Value: μ=∑x∈XxP(x)
  2. Standard Deviation: σ=√∑x∈X(x−μ)2P(x)
Jul 1, 2020

What does return standard deviation mean? ›

Standard deviation of returns is a measure of volatility or risk. The larger the return standard deviation, the larger the variations you can expect to see in returns.

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