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Lesson 2 of 12 · 14 min

Expected value, variance and standard deviation

Expected value is your probability-weighted forecast; variance and standard deviation measure how far the actual outcome is likely to land from that forecast.

In short

  • The expected value E(X)E(X) multiplies each possible outcome by its probability and adds the products.
  • It is a forward-looking forecast (or the true population mean), unlike a sample mean, which equally weights past observations.
  • Variance is the probability-weighted average of squared deviations from E(X)E(X). It is never negative and is zero only when the outcome is certain.
  • Standard deviation is the positive square root of variance and is in the same units as the variable, so it is easier to interpret.
  • Always work in the same order: expected value, then variance, then standard deviation.

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Expected value, variance and standard deviation · Statistical Distributions for Financial Asset Prices and Returns