Innovator SAMPP Semi Variance
| PMAY ETF | | | USD 40.97 0.15 0.37% |
Semi-variance provides a good measure of downside volatility for equity or a portfolio. It is similar to variance, but it only looks at periods where the returns are less than the target or average level. Below is Innovator SAMPP's current Semi Variance with peer comparisons and related risk metrics.
Current Semi Variance Value
A Semi Variance of 0.0069 for Innovator SAMPP signals low price variability. This places Innovator SAMPP at the lower end of the volatility range for ETF.
Semi Variance | = | SUM(RET DEV)2N(ZERO) |
| = | 0.0069 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual return deviation over selected period |
| N(ZERO) | = | Number of points with returns less than zero |
Semi Variance Peers Comparison
Innovator SAMPP's Semi Variance of 0.0069 falls below the 0.22 peer average. Values range from -0.0754 (Innovator SAMPP 500) to 0.6478 (AB Active ETFs), with wide dispersion across the group. Innovator SAMPP has exhibited less price dispersion than the peer average over the measured period.
Semi Variance Relative To Other Indicators
The chart below plots Semi Variance against Maximum Drawdown for Innovator SAMPP and its peers. Each point represents one equity — position along the horizontal axis shows Semi 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.
Innovator SAMPP's Maximum Drawdown of
1.74 runs about
252.84 times its Semi Variance of
0.01 . This indicates Maximum Drawdown substantially exceeds Semi Variance for Innovator SAMPP.
Methodology, Assumptions & Data Sources
Innovator SAMPP's Semi Variance currently stands at 0.0069. This Semi Variance reading for Innovator SAMPP results from applying the indicator's calculation rules to price and volume data over the selected window. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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