Fidelity International Mean Deviation
| FIVA ETF | | | USD 37.05 -0.74 -1.96% |
The mean deviation of the equity instrument is the first measure of the distances between each value of security historical prices and the mean. It gives us an idea of how spread out from the center the distribution of returns. Below is Fidelity International's current Mean Deviation with peer comparisons and related risk metrics.
Current Mean Deviation Value
With Mean Deviation at 1.01, Fidelity International shows moderate price variability. This places Fidelity International within the typical volatility range for ETF.
Mean Deviation | = | SUM(RET DEV)N |
| = | 1.01 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of Fidelity International |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
Fidelity International falls above the 0.91 peer average for Mean Deviation. Fidelity Emerging Markets leads at 1.18 while Fidelity Covington Trust registers the lowest at 0.6113. Fidelity International has exhibited greater price dispersion than the peer average over the measured period.
Mean Deviation Relative To Other Indicators
The chart below plots Mean Deviation against Maximum Drawdown for Fidelity International and its peers. Each point represents one equity — position along the horizontal axis shows Mean Deviation 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.
Fidelity International's Maximum Drawdown of
6.04 runs about
5.98 times its Mean Deviation of
1.01 . This indicates Maximum Drawdown substantially exceeds Mean Deviation for Fidelity International.
Methodology, Assumptions & Data Sources
Fidelity International's Mean Deviation currently stands at 1.01. Mean Deviation for Fidelity International is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. 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.
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