WisdomTree 9060 Downside Variance
| NTSX ETF | | | USD 58.22 0.84 1.46% |
Downside Variance (or DV) is measured by target semi-variance and is termed downside volatility. It is expressed in percentages and therefore allows for rankings in the same way as variance. One way to view downside volatility is the annualized variance of returns below the target. Below is WisdomTree 9060's current Downside Variance with peer comparisons and related risk metrics.
Current Downside Variance Value
WisdomTree 9060 carries a Downside Variance of 1.2, consistent with moderate price variability. This places WisdomTree 9060 within the typical volatility range for ETF.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 1.2 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N(ER) | = | Number of points with returns less than expected return for the period |
Downside Variance Peers Comparison
Among sector peers, WisdomTree 9060's Downside Variance of 1.2 is below the 1.36 group average. The range runs from 0.7377 (Pacer Funds Trust) to 3.06 (Invesco DWA Momentum). WisdomTree 9060 has exhibited less price dispersion than the peer average over the measured period.
Downside Variance Relative To Other Indicators
The chart below plots Downside Variance against Maximum Drawdown for WisdomTree 9060 and its peers. Each point represents one equity — position along the horizontal axis shows Downside 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.
WisdomTree 9060's Maximum Drawdown of
4.21 runs about
3.52 times its Downside Variance of
1.20 . This indicates Maximum Drawdown is significantly higher than Downside Variance for WisdomTree 9060.
Compare WisdomTree 9060 to PeersMethodology, Assumptions & Data Sources
The current Downside Variance for WisdomTree 9060 is 1.2. Downside Variance for WisdomTree 9060 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. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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