Expected Value Definition, Formula, and Examples (2024)

What Is Expected Value?

Expected value (EV) is an anticipated average value for an investment at some point in the future. Investors use expected value to estimate the worth of investments, often relative to their risk.

Modern portfolio theory (MPT), for instance, attempts to solve for the optimal portfolio allocation based on investments' expected values and standard deviations (i.e., risk).

In statistics and probability analysis, the expected value is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values.

By calculating expected values, investors can choose the scenario most likely to produce the outcome that they seek.

Key Takeaways

  • Expected value describes the long-term average level of a random variable based on its probability distribution.
  • In investing, the expected value of a stock or other investment is an important consideration and is used in scenario analyses.
  • Modern portfolio theory uses expected value in conjunction with an investment's risk (standard deviation) to come up with optimized portfolios.
  • Expected value can help investors size up whether an investment's risk is worth the potential reward.

Understanding Expected Value

The EV of a random variable gives a measure of the center of the distribution of the variable. Essentially, the EV is the long-term average value of the variable. Because of the law of large numbers, the average value of the variable converges to the EV as the number of repetitions approaches infinity. EV is also known as expectation, the mean or the first moment.

EV can be calculated for single discrete variables, single continuous variables, multiple discrete variables, and multiple continuous variables. For continuous variable situations, integrals must be used.

Scenario analysis is one technique for calculating the EV of an investment opportunity. It uses estimated probabilities with multivariate models to examine possible outcomes for a proposed investment. Scenario analysis also helps investors to determine whether they are taking on an appropriate level of risk given the likely outcome of the investment.

The difference between expected value and arithmetic mean is that the first involves a distribution of probability and the second involves a distribution of occurrence.

Formula for Expected Value

EV=P(Xi)×Xi\begin{aligned} EV=\sum P(X_i)\times X_i\end{aligned}EV=P(Xi)×Xi

where:

  • X is a random variable
  • P(X) is the probability of the random variable

Thus, the EV of a random variable X is taken as each value of the random variable multiplied by its probability, and each of those products is summed.

Example of Expected Value

To calculate the EV for a single discrete random variable, you must multiply the value of the variable by the probability of that value occurring.

Take, for example, a normal six-sided die. Once you roll the die, it has an equal one-sixth chance of landing on one, two, three, four, five, or six. Given this information, the calculation is straightforward:

(16×1)+(16×2)+(16×3)+(16×4)+(16×5)+(16×6)=3.5\begin{aligned}\left(\frac{1}{6}\times1\right)&+\left(\frac{1}{6}\times2\right)+\left(\frac{1}{6}\times3\right)\\&+\left(\frac{1}{6}\times4\right)+\left(\frac{1}{6}\times5\right)+\left(\frac{1}{6}\times6\right)=3.5\end{aligned}(61×1)+(61×2)+(61×3)+(61×4)+(61×5)+(61×6)=3.5

If you were to roll a six-sided die an infinite amount of times, you would find that the average value equals 3.5.

What Is a Dividend Stock's Expected Value?

The expected value of a stock is estimated as the net present value (NPV) of all future dividends that the stock pays. If you can estimate the growth rate of the dividends, you can predict how much investors should willingly pay for the stock using a dividend discount model such as the Gordon growth model (GGM).

How Do I Find the Expected Value of a Stock That Doesn't Pay Dividends?

For non-dividend stocks, analysts often use a multiples approach to come up with expected value. For example. the price-to-earnings (P/E) ratio is often used and compared to industry peers. So, if the tech industry has an average P/E of 25x, a tech stock's EV would be 25 times its earnings per share.

How Is the Expected Value of a Stock Used in Portfolio Theory?

Modern portfolio theory and related models use mean-variance optimization to come up with the best portfolio allocation on a risk-adjusted basis. Risk is measured as the portfolio's standard deviation, and the mean is the expected value (expected return) of the portfolio.

The Bottom Line

Comprehending the concept of expected value is important for investors. It can aid them in determining the level of return that they might expect from an investment.

Expected value and scenario analysis can provide insight into the risk of an investment versus its return and help an investor decide whether or not to include it in their portfolio.

Expected Value Definition, Formula, and Examples (2024)

FAQs

Expected Value Definition, Formula, and Examples? ›

Expected value refers to the average outcome you would expect from repeating an experiment over and over. It is calculated by multiplying each possible outcome by its probability of occurring, and summing those products together.

What is the formula for expected value example? ›

To calculate the expected value, use the formula for the expected value of a binomial random variable: E [ X ] = p × q , where p is the binomial probability, and q is the number of trials.

What is the formula for the expected value of a product? ›

Theorem 27.1 (Expected Value of a Product) If X and Y are independent random variables, then E[XY]=E[X]E[Y]. (27.1) In fact, if X and Y are independent, then for any functions g and h , E[g(X)h(Y)]=E[g(X)]E[h(Y)].

What is an example of calculating expected value in real life? ›

For example, suppose for a particular advertisem*nt there is a 10% chance of receiving a $5 return, a 30% chance of receiving a $2 return, and a %60 chance of receiving a -$8 return. We would calculate the expected value for the advertisem*nt to be: Expected value = 0.1*$5 + 0.3*$2 + 0.6*(-$8) = -$3.70.

What is an example of expected value theory? ›

For example, imagine that you could buy a lottery ticket for $1 that has a 1% chance of winning $50. Buying the ticket has an expected value of minus 49 cents.

How do you find the expected value step by step? ›

Here are the five primary steps for you to follow:
  1. Identify all possible outcomes. To begin calculating the expected value, identify which outcomes are possible. ...
  2. Assign a value to each outcome. ...
  3. Determine the probability of each outcome. ...
  4. Multiply each value by its probability. ...
  5. Find the sum of the outcomes.
Oct 10, 2022

What's expected value in math? ›

expected value, in general, the value that is most likely the result of the next repeated trial of a statistical experiment. The probability of all possible outcomes is factored into the calculations for expected value in order to determine the expected outcome in a random trial of an experiment.

When would you calculate an expected value? ›

Answer and Explanation: Expected values are calculated in case it is not possible to determine a value with full certainty.

What is an example of expected value in a question? ›

The expected value is often denoted just by E. Example: Suppose for some game, p(win) = 2/6; p(lose) = 4/6 If you lose, you pay $1; if you win other player pays you $D What should D be if the game is to be fair? The game costs $2 to play.

What is an example of expected value and probability? ›

Expected value is the probability multiplied by the value of each outcome. For example, a 50% chance of winning $100 is worth $50 to you (if you don't mind the risk). We can use this framework to work out if you should play the lottery.

What is the formula for expected value in Excel? ›

Calculating Expected Value in Excel

To calculate expected value, all you need to do is enter the probability and reward values into the appropriate Excel cells. Once you have entered the data, you can use the formula =PRODUCT(probability, reward) to calculate the expected value.

What is the expected value in simple terms? ›

Expected value (also known as EV, expectation, average, or mean value) is a long-run average value of random variables. It also indicates the probability-weighted average of all possible values.

What is an example of expected value in a game? ›

Computing Expected Value of a Game of Chance: One Payout Value is Negative Example. Suppose there is a game where there is a fair spinner with 10 equal sections. If a player spins a 1 they win $10, if they spin any value from 2-9, they win $1, but if they spin a 10, they lose $20.

What is the expected value for each choice? ›

Expected value is the sum of the possible outcomes of a decision or experiment, weighted by their probabilities. For example, if you flip a fair coin, the expected value of the number of heads is 0.5, because there are two possible outcomes (heads or tails), each with a probability of 0.5, and the value of heads is 1.

What is the formula for expected value of product of random variables? ›

In general, the expected value of the product of two random variables need not be equal to the product of their expectations. However, this holds when the random variables are independent: Theorem 5 For any two independent random variables, X1 and X2, E[X1 · X2] = E[X1] · E[X2].

What is the formula for expected value in chi square test? ›

The chi-square formula is: χ2 = ∑(Oi – Ei)2/Ei, where Oi = observed value (actual value) and Ei = expected value.

How to calculate expected value of product of random variables? ›

The expected value of two dependent random variables can be calculated by multiplying the two variables together and then taking the expected value of the resulting product. This is known as the product rule for expected values.

What is the formula for VAR and expected value? ›

For any random variable X , the variance of X is the expected value of the squared difference between X and its expected value: Var[X] = E[(X-E[X])2] = E[X2] - (E[X])2 .

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