Santhera Pharmaceuticals Variance
| SANN Stock | | | CHF 16.70 0.80 5.03% |
The Variance lookup presents technical context for Santhera Pharmaceuticals Holding and related instruments. Availability can vary by instrument;
Equity Screeners offers additional screening access. Santhera Pharmaceuticals has market cap of 142.15 M, operating margin of -147.6%, ROE of -2.88%.
World Market Map can help frame allocation decisions. The allocation includes a position in Santhera Pharmaceuticals Holding within the allocation 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 inflation.
Santhera Pharmaceuticals Holding has current Variance of 11.08. 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 |
| = | 11.08 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Santhera Pharmaceuticals Variance Peers Comparison
Santhera Variance Relative To Other Indicators
Santhera Pharmaceuticals Holding is rated
below average. in variance category among its top compatitors. It is currently under evaluation. in maximum drawdown category among its top compatitors reporting about
1.51 of Maximum Drawdown per Variance. The ratio of Maximum Drawdown to Variance for Santhera Pharmaceuticals Holding is roughly
1.51 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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