Sigma Lithium Downside Variance
| SGML Stock | | | USD 23.65 0.80 3.50% |
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 Sigma Lithium's current Downside Variance with peer comparisons and related risk metrics.
Current Downside Variance Value
At 30.01, Sigma Lithium's Downside Variance indicates elevated price variability. This places Sigma Lithium toward the higher end of the volatility range for Diversified Metals & Mining.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 30.01 | |
| 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
The peer group averages 57.51 for Downside Variance, with Sigma Lithium at 30.01 falling below that level. Readings span 13.84 (Compass Minerals International) to 230.5 (Graphjet Technology). Sigma Lithium 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 Sigma Lithium 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.
The Maximum Drawdown-to-Downside Variance ratio for Sigma Lithium sits near
1.37 , with Downside Variance at
30.01 and Maximum Drawdown at
41.08 . This indicates Maximum Drawdown moderately exceeds Downside Variance for Sigma Lithium.
Methodology, Assumptions & Data Sources
The current Downside Variance for Sigma Lithium is 30.01. The Downside Variance for Sigma Lithium 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. Sigma Lithium operates in the basic materials 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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