Amplify ETF Semi Variance
| NDIV ETF | | | USD 35.62 -0.16 -0.45% |
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 Amplify ETF's current Semi Variance with peer comparisons and related risk metrics.
Current Semi Variance Value
Amplify ETF has a Semi Variance of 1.33, indicating moderate price variability. This places Amplify ETF within the typical volatility range for ETF.
Semi Variance | = | SUM(RET DEV)2N(ZERO) |
| = | 1.33 | |
| 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
Relative to peers, Amplify ETF's Semi Variance is below the group average of 6.3. Peer readings range from 0.3373 (First Trust EIP) to 15.44 (Themes Gold Miners), reflecting wide dispersion across the sector. Amplify ETF 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 Amplify ETF 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.
Amplify ETF produces
4.36 in Maximum Drawdown for each unit of Semi Variance, with respective readings of
5.78 and
1.33 . This indicates Maximum Drawdown is significantly higher than Semi Variance for Amplify ETF.
Methodology, Assumptions & Data Sources
Amplify ETF's Semi Variance currently stands at 1.33. Semi Variance for Amplify ETF is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. Inputs are drawn from end-of-day closing prices reported by supported exchanges, adjusted for splits and dividends where applicable. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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