Southwest Airlines Standard Deviation
| SWN Stock | | | EUR 34.76 0.89 2.63% |
The Standard Deviation indicator for Southwest Airlines is constructed from normalized market data. The
Equity Screeners module supports multi-indicator technical analysis. Southwest Airlines has a market cap of 18.63 B, operating margin of 5.09%, current ratio of 1.54.
World Market Map can help frame allocation decisions. Southwest Airlines Co can be added to a watchlist or portfolio for position tracking. Position allocation is driven by the portfolio construction model in use. Broader economic conditions can influence Southwest Airlines Co's company valuation — related indicators include
signals in inflation.
For information on how to trade Southwest Stock refer to our
How to Invest in Southwest Airlines guide. It explains the process for buying and trading Southwest Stock effectively.
Southwest Airlines Co has current Standard Deviation of 3.32. The Standard Deviation is a measure of how spread out the prices or returns of an asset are on average. It is the most widely used risk indicator in the field of investing and finance. Standard Deviation is commonly used to measure confidence in statistical conclusions regarding certain equity instruments or portfolios of equities.
Standard Deviation | = | SQRT(V) |
| = | 3.32 | |
Standard Deviation Peers Comparison
Standard Deviation Relative To Other Indicators
Southwest Airlines Co ranks
second among stocks in standard deviation across its competitive set. It is currently under evaluation in maximum drawdown across its competitive set at roughly
6.28 Maximum Drawdown per unit of Standard Deviation. Southwest Airlines Co carries a
6.28 x Maximum Drawdown-to-Standard Deviation ratio
Standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility. Standard deviation is also known as historical volatility and is used by investors as a gauge for the amount of expected market volatility. A large standard deviation usually indicates that the data points are far from the mean and a small standard deviation indicates that they are clustered closely around the mean.
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