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 the difference between expected value and 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.

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 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.

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

The expected return of a portfolio is the anticipated amount of returns that it may generate, making it the average of the portfolio's possible return distribution. The standard deviation of a portfolio measures the amount that the returns deviate from its mean, making it a proxy for the portfolio's risk.

What is standard deviation versus return? ›

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.

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 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 is a good return on investment over 5 years? ›

Most investors would view an average annual rate of return of 10% or more as a good ROI for long-term investments in the stock market. However, keep in mind that this is an average. Some years will deliver lower returns -- perhaps even negative returns. Other years will generate significantly higher returns.

What does standard deviation tell us in finance? ›

Standard deviation helps determine market volatility or the spread of asset prices from their average price. When prices move wildly, standard deviation is high, meaning an investment will be risky. Low standard deviation means prices are calm, so investments come with low risk.

Is CAPM the same as expected return? ›

The capital asset pricing model, or CAPM, is a financial model that calculates the expected rate of return for an asset or investment. CAPM does this by using the expected return on both the market and a risk-free asset, and the asset's correlation or sensitivity to the market (beta).

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 is considered a high standard deviation? ›

Statisticians have determined that values no greater than plus or minus 2 SD represent measurements that are are closer to the true value than those that fall in the area greater than ± 2SD. Thus, most QC programs require that corrective action be initiated for data points routinely outside of the ±2SD range.

What is the formula for standard deviation return? ›

The formula to find the standard deviation is σ = ∑ ( x i − μ ) 2 N where x i are historic returns per month, μ is the mean or average return, and N is the number of months examined for the standard deviation.

What is a good standard deviation for a portfolio? ›

What is a good standard deviation? While there is no such thing as a good or bad standard deviation, funds with a low standard deviation in the range of 1- 10, may be considered less prone to volatility. This can be mapped to your own risk appetite in order to decide if a fund works for you or not.

What is the difference between expected move and standard deviation? ›

The general rule of thumb is that: One standard deviation (1SD) encompasses about 68% of the expected price move. Two standard deviations (2SD) encompass about 95% of the expected price move. Three standard deviations (3SD) encompass about 99.7% of the expected price move.

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

If the standard deviation is known, it behaves as a constant and the normal distribution remains. If the standard deviation is estimated from the sample, it follows a probability distribution and the ratio of the numerator's normal distribution to this distribution turns out to be t.)

What is the difference between mean value and standard deviation? ›

Standard deviation (SD) is a widely used measurement of variability used in statistics. It shows how much variation there is from the average (mean). A low SD indicates that the data points tend to be close to the mean, whereas a high SD indicates that the data are spread out over a large range of values.

What is the difference between the measured value and a given standard or expected value? ›

Discrepancy (or “measurement error”) is the difference between the measured value and a given standard or expected value. If the measurements are not very precise, then the uncertainty of the values is high. If the measurements are not very accurate, then the discrepancy of the values is high.

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