Amber International Variance
| AMBR Stock | | | USD 2.26 -0.14 -5.83% |
Historical market data for Amber International Holding forms the basis of the Variance indicator shown here. The calculation draws on time-series market data across available periods. Amber International has a market cap of 224.84 M, operating margin of 8.44%. Allocation context is available in
Trending Equities. Portfolio composition is shown for contextual purposes. The allocation includes a position in Amber International Holding. The position falls 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 bureau of labor statistics.
Amber International Holding has current Variance of 45.54. 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 |
| = | 45.54 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Variance Peers Comparison
Variance Relative To Other Indicators
Amber International Holding is ranked
fourth for variance against industry peers. It is currently under evaluation for maximum drawdown against industry peers with Maximum Drawdown measuring nearly
0.84 against Variance. Variance runs about
1.20 times Maximum Drawdown for Amber International Holding
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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