AllianzIM Equity Mean Deviation
| SIXD ETF | | | USD 30.49 0.11 0.36% |
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 AllianzIM Equity's current Mean Deviation with peer comparisons and related risk metrics.
Current Mean Deviation Value
A Mean Deviation of 0.4221 for AllianzIM Equity signals low price variability. This places AllianzIM Equity at the lower end of the volatility range for ETF.
Mean Deviation | = | SUM(RET DEV)N |
| = | 0.4221 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of AllianzIM Equity |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
The peer group averages 0.55 for Mean Deviation, with AllianzIM Equity at 0.4221 falling below that level. Readings span 0.2577 (ProShares Trust ProShares) to 0.9296 (Dimensional International High). AllianzIM Equity has exhibited less 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 AllianzIM Equity 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.
With Mean Deviation at
0.42 and Maximum Drawdown at
1.73 , AllianzIM Equity shows a
4.09 -to-one ratio between these indicators. This indicates Maximum Drawdown is significantly higher than Mean Deviation for AllianzIM Equity.
Methodology, Assumptions & Data Sources
AllianzIM Equity has a current Mean Deviation reading of 0.4221. AllianzIM Equity's Mean Deviation is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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