KFA Mount Mean Deviation
| KMLM ETF | | | USD 29.04 -0.47 -1.59% |
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 KFA Mount's current Mean Deviation with peer comparisons and related risk metrics.
Current Mean Deviation Value
The Mean Deviation of 0.7098 for KFA Mount indicates low price variability. This places KFA Mount at the lower end of the volatility range for ETF.
Mean Deviation | = | SUM(RET DEV)N |
| = | 0.7098 | |
| SUM | = | Summation notation |
| RET DEV | = | Sum of return deviations of KFA Mount |
| N | = | Number of calculation points for selected time horizon |
Mean Deviation Peers Comparison
Relative to peers, KFA Mount's Mean Deviation is below the group average of 0.85. Peer readings range from 0.2165 (Northern Lights) to 1.18 (SPDR SAMPP Pharmaceuticals), reflecting wide dispersion across the sector. KFA Mount 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 KFA Mount 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.
KFA Mount shows nearly
5.62 of Maximum Drawdown per unit of Mean Deviation (
0.71 versus
3.99 ). This indicates Maximum Drawdown substantially exceeds Mean Deviation for KFA Mount.
Methodology, Assumptions & Data Sources
KFA Mount has a current Mean Deviation reading of 0.7098. The Mean Deviation for KFA Mount is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. Data sources include daily closing prices from supported exchanges, with standard corporate action adjustments applied. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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