IShares Dow Mean Deviation
| IYY ETF | | | USD 178.37 0.00 0.00% |
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 IShares Dow's current Mean Deviation with peer comparisons and related risk metrics.
Current Mean Deviation Value
IShares Dow carries a Mean Deviation of 0.7263, consistent with low price variability. This places IShares Dow at the lower end of the volatility range for ETF.
Mean Deviation | = | SUM(RET DEV)N |
| = | 0.7263 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of IShares Dow |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
IShares Dow's Mean Deviation of 0.7263 falls below the 0.81 peer average. Values range from 0.5806 (iShares Russell Top) to 0.9642 (iShares Edge MSCI), with tight clustering across the group. IShares Dow 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 IShares Dow 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.
IShares Dow's Maximum Drawdown of
3.83 runs about
5.27 times its Mean Deviation of
0.73 . This indicates Maximum Drawdown substantially exceeds Mean Deviation for IShares Dow.
Methodology, Assumptions & Data Sources
IShares Dow's Mean Deviation currently stands at 0.7263. The Mean Deviation for IShares Dow applies a standardized calculation to daily closing prices and, where applicable, volume data across the selected period. Inputs are drawn from end-of-day closing prices reported by supported exchanges, adjusted for splits and dividends where applicable. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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