NYLI CBRE Variance
| IQRA ETF | | | 30.82 0.26 0.85% |
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 NYLI CBRE's current Variance with peer comparisons and related risk metrics.
Current Variance Value
NYLI CBRE registers a Variance of 0.9075, reflecting low price variability. This places NYLI CBRE at the lower end of the volatility range for ETF.
Variance | = | SUM(RET DEV)2N |
| = | 0.9075 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Variance Peers Comparison
NYLI CBRE's Variance of 0.9075 falls below the 1.35 peer average. Values range from 0.2878 (Tidal ETF Trust) to 3.14 (Matthews International Funds), with wide dispersion across the group. NYLI CBRE 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 NYLI CBRE 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.
NYLI CBRE's Maximum Drawdown of
4.55 runs about
5.01 times its Variance of
0.91 . This indicates Maximum Drawdown substantially exceeds Variance for NYLI CBRE.
Compare NYLI CBRE to PeersMethodology, Assumptions & Data Sources
NYLI CBRE has a current Variance reading of 0.9075. This Variance reading for NYLI CBRE results from applying the indicator's calculation rules to price and volume data over the selected window. 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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