ExlService Holdings Standard Deviation
| EXLS Stock | | | USD 29.64 -0.07 -0.24% |
The Standard Deviation technical lookup provides context for ExlService Holdings and related instruments. Coverage depends on data availability and normalization;
Equity Screeners provides additional screening context. ExlService Holdings has a market cap of 4.7 B, operating margin of 14.36%, ROE of 27.25%. Review
Investing Opportunities for broader portfolio context. This reflects a position in ExlService Holdings in the portfolio view. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
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How to Invest in ExlService Holdings guide provides practical guidance on trading ExlService Stock.
ExlService Holdings has current Standard Deviation of 3.05. 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) |
| = | 3.05 | |
ExlService Holdings Standard Deviation Peers Comparison
ExlService Standard Deviation Relative To Other Indicators
ExlService Holdings is rated
below average in standard deviation relative to competitors. It is currently under evaluation in maximum drawdown relative to competitors yielding
6.77 of Maximum Drawdown per Standard Deviation. For ExlService Holdings, Maximum Drawdown stands at
6.77 times Standard Deviation
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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