Northern Lights Variance
| MAMB ETF | | | USD 24.40 0.19 0.78% |
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 Northern Lights's current Variance with peer comparisons and related risk metrics.
Current Variance Value
At 0.139, Northern Lights exhibits low price variability in Variance. This places Northern Lights at the lower end of the volatility range for ETF.
Variance | = | SUM(RET DEV)2N |
| = | 0.139 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Variance Peers Comparison
Relative to peers, Northern Lights's Variance is below the group average of 0.58. Peer readings range from 5.0E-4 (WEEK) to 2.45 (Invesco SAMPP SmallCap), reflecting wide dispersion across the sector. Northern Lights 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 Northern Lights 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.
Northern Lights's Maximum Drawdown of
1.61 runs about
11.60 times its Variance of
0.14 . This indicates Maximum Drawdown substantially exceeds Variance for Northern Lights.
Methodology, Assumptions & Data Sources
Northern Lights' Variance currently stands at 0.139. The Variance for Northern Lights applies a standardized calculation to daily closing prices and, where applicable, volume data across the selected period. All inputs are based on exchange-reported closing prices, with adjustments for stock splits, dividends, and other corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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