BlackRock Carbon Semi Variance
| LCTU ETF | | | USD 78.70 0.65 0.83% |
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 BlackRock Carbon's current Semi Variance with peer comparisons and related risk metrics.
Current Semi Variance Value
BlackRock Carbon carries a Semi Variance of 0.697, consistent with low price variability. This places BlackRock Carbon at the lower end of the volatility range for ETF.
Semi Variance | = | SUM(RET DEV)2N(ZERO) |
| = | 0.697 | |
| 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
The peer group averages 2.15 for Semi Variance, with BlackRock Carbon at 0.697 falling below that level. Readings span 0.0719 (Aptus Defined Risk) to 6.5 (Amplify Transformational Data). BlackRock Carbon 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 BlackRock Carbon 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.
Comparing Semi Variance (
0.70 ) to Maximum Drawdown (
4.08 ) for BlackRock Carbon yields a
5.85 multiple. This indicates Maximum Drawdown substantially exceeds Semi Variance for BlackRock Carbon.
Methodology, Assumptions & Data Sources
BlackRock Carbon's Semi Variance currently stands at 0.697. The Semi Variance for BlackRock Carbon is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. Data sources include daily closing prices from supported exchanges, with standard corporate action adjustments applied. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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