Invesco SAMPP Variance
| PSCU ETF | | | USD 64.77 -1.35 -2.04% |
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. Below is Invesco SAMPP's current Variance with peer comparisons and related risk metrics.
Current Variance Value
At 1.09, Invesco SAMPP exhibits moderate price variability in Variance. This places Invesco SAMPP within the typical volatility range for ETF.
Variance | = | SUM(RET DEV)2N |
| = | 1.09 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Variance Peers Comparison
Relative to peers, Invesco SAMPP's Variance is below the group average of 1.88. Peer readings range from 1.1 (ALPS REIT Dividend) to 4.65 (Invesco SAMPP Emerging), reflecting wide dispersion across the sector. Invesco SAMPP has exhibited less price dispersion than the peer average over the measured period.
Variance Relative To Other Indicators
The chart below plots Variance against Maximum Drawdown for Invesco SAMPP and its peers. Each point represents one equity — position along the horizontal axis shows Variance while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
Comparing Variance (
1.09 ) to Maximum Drawdown (
4.57 ) for Invesco SAMPP yields a
4.19 multiple. This indicates Maximum Drawdown is significantly higher than Variance for Invesco SAMPP.
Methodology, Assumptions & Data Sources
The current Variance for Invesco SAMPP is 1.09. Variance for Invesco SAMPP is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. Price data is sourced from standardized end-of-day feeds across supported exchanges, normalized for corporate actions. The calculation assumes continuous price data across the selected period. All readings are presented as reference data.
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