CommVault Systems Variance
| CVLT Stock | | | USD 78.96 -1.89 -2.34% |
The Variance technical lookup provides context for CommVault Systems and related instruments. Coverage depends on data availability and normalization;
Equity Screeners provides additional screening context. CommVault Systems has a market cap of 3.48 B, operating margin of 10.09%, ROE of 34.49%. Review
Trending Equities for broader portfolio context. This reflects a position in CommVault Systems 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.
Our
How to Invest in CommVault Systems guide provides practical guidance on trading CommVault Stock.
CommVault Systems has current Variance of 20.15. Variance is another measure of security risk that shows the amount of dispersion of equity returns around their mean value. Variance is calculated as the average squared deviations from the mean. Evaluating a set of investment alternatives one can use variance to help determine the volatility when purchasing a specific security. Similar to Standard Deviation, the variance is a measure of how far a set of numbers is spread out around its mean.
Variance | = | SUM(RET DEV)2N |
| = | 20.15 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
CommVault Systems Variance Peers Comparison
CommVault Variance Relative To Other Indicators
CommVault Systems maintains a
third standing in variance relative to competitors. It is currently under evaluation in maximum drawdown relative to competitors yielding
1.76 of Maximum Drawdown per Variance. For CommVault Systems, Maximum Drawdown stands at
1.76 times Variance
Variance is also a measure of stock volatility and can help determine the risk an investor might take on when purchasing a specific security. A relatively big variance indicates that the daily prices or returns are far from the mean and a small variance indicates that they are located around the mean.
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