Invesco BulletShares Semi Deviation
| BSMZ ETF | | | 25.53 0.03 0.12% |
Semi-deviation provides a good measure of downside risk for a equity or a portfolio. It is similar to standard deviation, but it only looks at periods where the returns are less than the target or average level. Below is Invesco BulletShares's current Semi Deviation with peer comparisons and related risk metrics.
Current Semi Deviation Value
At 0.3035, Invesco BulletShares's Semi Deviation indicates low price variability. This places Invesco BulletShares at the lower end of the volatility range for ETF.
Semi Deviation | = | SQRT(SV) |
| = | 0.3035 | |
Semi Deviation Peers Comparison
Invesco BulletShares's Semi Deviation of 0.3035 falls below the 0.45 peer average. Values range from 0.047 (Northern Funds) to 0.7976 (Fred Alger Management), with wide dispersion across the group. Invesco BulletShares has exhibited less price dispersion than the peer average over the measured period.
Semi Deviation Relative To Other Indicators
The chart below plots Semi Deviation against Maximum Drawdown for Invesco BulletShares and its peers. Each point represents one equity — position along the horizontal axis shows Semi Deviation 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.
Invesco BulletShares's Maximum Drawdown of
1.66 runs about
5.47 times its Semi Deviation of
0.30 . This indicates Maximum Drawdown substantially exceeds Semi Deviation for Invesco BulletShares.
Methodology, Assumptions & Data Sources
The current Semi Deviation for Invesco BulletShares is 0.3035. This Semi Deviation reading for Invesco BulletShares 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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