FlexShares Morningstar Semi Deviation
| TLTE ETF | | | USD 78.04 1.92 2.52% |
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 FlexShares Morningstar's current Semi Deviation with peer comparisons and related risk metrics.
Current Semi Deviation Value
With Semi Deviation at 1.51, FlexShares Morningstar shows moderate price variability. This places FlexShares Morningstar within the typical volatility range for ETF.
Semi Deviation | = | SQRT(SV) |
| = | 1.51 | |
Semi Deviation Peers Comparison
Among sector peers, FlexShares Morningstar's Semi Deviation of 1.51 is above the 1.17 group average. The range runs from 0.8432 (Pacer Lunt Large) to 1.56 (Dimensional ETF Trust). FlexShares Morningstar has exhibited greater 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 FlexShares Morningstar 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.
With Semi Deviation at
1.51 and Maximum Drawdown at
6.53 , FlexShares Morningstar shows a
4.33 -to-one ratio between these indicators. This indicates Maximum Drawdown is significantly higher than Semi Deviation for FlexShares Morningstar.
Methodology, Assumptions & Data Sources
The current Semi Deviation for FlexShares Morningstar is 1.51. The Semi Deviation for FlexShares Morningstar is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. 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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