Edwards Lifesciences Semi Deviation

EW Stock  USD 83.17  -0.03  -0.04%   
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 Edwards Lifesciences's current Semi Deviation with peer comparisons and related risk metrics.

Current Semi Deviation Value

At 1.75, Edwards Lifesciences's Semi Deviation indicates moderate price variability. This places Edwards Lifesciences within the typical volatility range for Health Care Equipment & Supplies.

Semi Deviation

=

SQRT(SV)

 = 
1.75
SQRT = Square root notation
SV =   Edwards Lifesciences semi variance of returns over selected period

Semi Deviation Peers Comparison

Semi Deviation Relative To Other Indicators

The chart below plots Semi Deviation against Maximum Drawdown for Edwards Lifesciences 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.
Edwards Lifesciences produces 3.97 in Maximum Drawdown for each unit of Semi Deviation, with respective readings of 6.97 and 1.75 . This indicates Maximum Drawdown is significantly higher than Semi Deviation for Edwards Lifesciences.
Compare Edwards Lifesciences to Peers

Methodology, Assumptions & Data Sources

Edwards Lifesciences has a current Semi Deviation reading of 1.75. This Semi Deviation reading for Edwards Lifesciences results from applying the indicator's calculation rules to price and volume data over the selected window. Inputs are drawn from end-of-day closing prices reported by supported exchanges, adjusted for splits and dividends where applicable. Edwards Lifesciences operates in the health care 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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