SPDR SSGA Variance
| MYMH ETF | | | 24.52 -0.01 -0.04% |
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 SPDR SSGA's current Variance with peer comparisons and related risk metrics.
Current Variance Value
At 0.0104, SPDR SSGA exhibits low price variability in Variance. This places SPDR SSGA at the lower end of the volatility range for ETF.
Variance | = | SUM(RET DEV)2N |
| = | 0.0104 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
Variance Peers Comparison
Relative to peers, SPDR SSGA's Variance is below the group average of 1.17. Peer readings range from 0.0041 (SPDR SSGA My2027) to 6.94 (Strategy Shares ), reflecting wide dispersion across the sector. SPDR SSGA 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 SPDR SSGA 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.
At
0.01 for Variance and
0.57 for Maximum Drawdown, SPDR SSGA's cross-indicator ratio sits almost
54.77 . This indicates Maximum Drawdown substantially exceeds Variance for SPDR SSGA.
Methodology, Assumptions & Data Sources
SPDR SSGA's Variance currently stands at 0.0104. SPDR SSGA's 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. Results are based on historical returns and do not predict future performance. This indicator is provided for informational purposes.
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