What is the Difference Between Beta and Standard Deviation?
🆚 Go to Comparative Table 🆚Beta and standard deviation are both measures of risk in finance, but they have different meanings and applications. Here are the key differences between the two:
- Measurement: Beta measures the volatility of an investment relative to the market as a whole, while standard deviation measures the total risk associated with an investment.
- Relative vs. Absolute Risk: Beta indicates how sensitive the returns of an asset are to changes in the market returns, comparing the volatility of a specific asset to the market as a whole. In contrast, standard deviation measures the dispersion of cash flows, indicating the degree of uncertainty or dispersion of returns for an individual investment.
- Calculation: Beta is calculated by dividing the covariance of the asset returns and the market returns by the variance of the market returns. Standard deviation, on the other hand, is calculated by taking the square root of the variance of the asset returns.
- Interpretation: A beta greater than one indicates greater volatility than the overall market, while a beta less than one indicates less volatility than the benchmark. Standard deviation, however, is a measure of the total risk associated with an investment, with higher standard deviations generally associated with more risk.
In summary, beta is a relative measure of risk, comparing an investment's volatility to the market's volatility, while standard deviation is an absolute measure of risk, indicating the total risk associated with an investment. Both measures are important for assessing risk, and investors should consider both when making investment decisions.
Comparative Table: Beta vs Standard Deviation
Here is a table highlighting the differences between beta and standard deviation:
Feature | Beta | Standard Deviation |
---|---|---|
Definition | Beta measures the volatility of an investment in relation to the market or a specific benchmark. | Standard deviation measures the dispersion of values within a dataset. |
Formula | Beta is calculated as the covariance between the return (rä) of the stock and the return (rf) of the benchmark, divided by the variance (vf) of the benchmark. | Standard deviation is calculated as the square root of the variance, which is the sum of squared differences from the mean divided by the number of data points minus 1. |
Purpose | Beta helps investors understand the risk associated with an investment compared to the market or a specific benchmark. | Standard deviation helps to quantify the spread or dispersion of data points in a dataset. |
Application | Beta is used in finance and investment management to assess the risk of investments. | Standard deviation is used in various fields, including statistics, economics, and social sciences, to measure the dispersion of data. |
In summary, beta measures the volatility of an investment in relation to the market or a specific benchmark, while standard deviation measures the dispersion of values within a dataset.
- Deviation vs Standard Deviation
- Variance vs Standard Deviation
- Standard Deviation vs Mean
- Population vs Sample Standard Deviation
- Gaussian vs Normal Distribution
- Binomial vs Normal Distribution
- Metric vs Standard
- Alpha vs Beta Decay
- Probability vs Statistics
- Electron vs Beta Particle
- Poisson Distribution vs Normal Distribution
- Alpha vs Beta Particles
- Alpha Beta vs Gamma Diversity
- Alpha Male vs Beta Male
- Random Variables vs Probability Distribution
- Mathematics vs Statistics
- Alpha Beta vs Gamma Radiation
- Alpha vs Beta Cells
- Levered vs Unlevered Beta