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  1. Home
  2. Glossary
  3. Standard Deviation
Risk Management

What is Standard Deviation?

Definition

Standard deviation measures the dispersion of returns around the average return. In investing, it quantifies volatility—a higher standard deviation means returns vary more widely, indicating greater risk and uncertainty.

Detailed Explanation

Standard deviation is the most common statistical measure of investment risk. For a normally distributed set of returns, approximately 68% of returns fall within one standard deviation of the mean, and about 95% fall within two standard deviations.

For the S&P 500, the annualized standard deviation has historically been about 15-16%. This means that in roughly two-thirds of years, returns have been within 15-16 percentage points of the average return. Individual stocks have higher standard deviations (25-40%+ is common), which is why diversification reduces portfolio risk.

Standard deviation is used in the Sharpe ratio (excess return divided by standard deviation) and in calculating Bollinger Bands (price bands at standard deviation intervals from a moving average). It is also a key input for options pricing models like Black-Scholes.

Limitations include that it treats upside and downside deviations equally (investors only dislike downside), assumes a normal distribution (markets exhibit fat tails), and is based on historical data (past volatility may not predict future volatility).

Formula

SD = sqrt(Sum of (Return_i - Mean Return)^2 / (N - 1))

Example

A stock has annual returns of +15%, -5%, +20%, +10%, -10% over 5 years. The mean is 6%, and the standard deviation is approximately 12.6%. About 68% of the time, returns should fall between -6.6% and +18.6%.

Frequently Asked Questions

Is a lower standard deviation always better?
Lower standard deviation means less volatility, which many consider less risky. However, lower volatility often comes with lower expected returns. The Sharpe ratio balances return against standard deviation to assess risk-adjusted performance.
How does diversification reduce standard deviation?
By combining assets that do not move in perfect lockstep (correlation less than 1.0), the portfolio's overall standard deviation is lower than the average of individual assets. This is the mathematical basis of diversification benefits.
What is the standard deviation of the S&P 500?
The S&P 500's annualized standard deviation has historically been about 15-16%. In volatile periods (2008, 2020), it can spike to 30%+. In calm periods, it can drop to 10-12%.

Related Terms

Beta

Beta measures a stock's volatility relative to the overall market. A beta of 1.0 means the stock moves in line with the market. A beta above 1.0 indicates higher volatility than the market, while a beta below 1.0 indicates lower volatility.

Volatility

Volatility measures the degree of variation in a stock's price over time. Higher volatility means larger and more frequent price swings, indicating greater uncertainty and risk. It is commonly expressed as the annualized standard deviation of returns.

Bollinger Bands

Bollinger Bands are a technical analysis tool consisting of a middle band (20-period SMA) and two outer bands set at two standard deviations above and below the middle band. They dynamically adjust to volatility, widening during volatile periods and narrowing during calm periods.

Sharpe Ratio

The Sharpe Ratio measures the risk-adjusted return of an investment by calculating excess return per unit of volatility. Developed by Nobel laureate William Sharpe, it allows investors to compare the return of different investments relative to the risk taken to achieve those returns.

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Disclaimer: The information on this page is provided for educational and informational purposes only and does not constitute investment advice. AI-generated analysis may contain errors or inaccuracies. Always conduct your own research and consult a qualified financial advisor before making investment decisions.

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