Hess Midstream Variance
| HESM Stock | | | USD 37.44 -0.94 -2.45% |
Variance is another measure of security risk that shows the amount of dispersion of equity returns around their mean value. Variance is calculated as the average squared deviations from the mean. Evaluating a set of investment alternatives one can use variance to help determine the volatility when purchasing a specific security. Similar to Standard Deviation, the variance is a measure of how far a set of numbers is spread out around its mean. Below is Hess Midstream's current Variance with peer comparisons and related risk metrics.
Current Variance Value
Hess Midstream registers a Variance of 1.8, reflecting moderate price variability. This places Hess Midstream within the typical volatility range for Stock.
Variance | = | SUM(RET DEV)2N |
| = | 1.8 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Variance Peers Comparison
Hess Midstream's Variance of 1.8 falls below the 4.57 peer average. Values range from 1.56 (South Bow) to 10.1 (APA Corporation), with wide dispersion across the group. Hess Midstream has exhibited less price dispersion than the peer average over the measured period.
Variance Relative To Other Indicators
The chart below plots Variance against Maximum Drawdown for Hess Midstream and its peers. Each point represents one equity — position along the horizontal axis shows 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.
Hess Midstream shows nearly
3.04 of Maximum Drawdown per unit of Variance (
1.80 versus
5.48 ). This indicates Maximum Drawdown is significantly higher than Variance for Hess Midstream.
Compare Hess Midstream to PeersMethodology, Assumptions & Data Sources
Hess Midstream's Variance currently stands at 1.8. The Variance for Hess Midstream 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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