Centerra Gold Downside Variance
| CGAU Stock | | | USD 17.76 -0.25 -1.39% |
Downside Variance (or DV) is measured by target semi-variance and is termed downside volatility. It is expressed in percentages and therefore allows for rankings in the same way as variance. One way to view downside volatility is the annualized variance of returns below the target. Below is Centerra Gold's current Downside Variance with peer comparisons and related risk metrics.
Current Downside Variance Value
Centerra Gold registers a Downside Variance of 14.64, reflecting elevated price variability. This places Centerra Gold toward the higher end of the volatility range for Stock.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 14.64 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N(ER) | = | Number of points with returns less than expected return for the period |
Downside Variance Peers Comparison
Among sector peers, Centerra Gold's Downside Variance of 14.64 is below the 316.72 group average. The range runs from 19.5 (Perpetua Resources Corp) to 1494.14 (Aris Mining). Centerra Gold has exhibited less price dispersion than the peer average over the measured period.
Downside Variance Relative To Other Indicators
The chart below plots Downside Variance against Maximum Drawdown for Centerra Gold and its peers. Each point represents one equity — position along the horizontal axis shows Downside 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.
Comparing Downside Variance (
14.64 ) to Maximum Drawdown (
17.50 ) for Centerra Gold yields a
1.19 multiple. This indicates Maximum Drawdown moderately exceeds Downside Variance for Centerra Gold.
Methodology, Assumptions & Data Sources
Centerra Gold has a current Downside Variance reading of 14.64. Centerra Gold's Downside Variance is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. Price data is sourced from standardized end-of-day feeds across supported exchanges, normalized for corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
Other Technical Indicators