SMEAD VALUE Semi Deviation
| SMVLX Fund | | | USD 92.62 -0.28 -0.30% |
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 SMEAD VALUE's current Semi Deviation with peer comparisons and related risk metrics.
Current Semi Deviation Value
The Semi Deviation of 0.6433 for SMEAD VALUE indicates low price variability. This places SMEAD VALUE at the lower end of the volatility range for Smead Funds.
Semi Deviation | = | SQRT(SV) |
| = | 0.6433 | |
Semi Deviation Peers Comparison
Relative to peers, SMEAD VALUE's Semi Deviation is below the group average of 1.05. Peer readings range from 0.7535 (Tweedy Browne Global) to 1.3 (The Hartford Midcap), reflecting moderate dispersion across the sector. SMEAD VALUE 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 Smead Value 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.
SMEAD VALUE's Maximum Drawdown of
3.63 runs about
5.65 times its Semi Deviation of
0.64 . This indicates Maximum Drawdown substantially exceeds Semi Deviation for SMEAD VALUE.
Methodology, Assumptions & Data Sources
SMEAD VALUE has a current Semi Deviation reading of 0.6433. SMEAD VALUE's Semi Deviation is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. SMEAD VALUE operates in the large value sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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