JAMES BALANCED: Downside Deviation
| GLRIX Fund | | | USD 24.69 0.07 0.28% |
Downside Deviation (or DD) is measured by target semi-deviation (the square root of target semi-variance) and is termed downside risk. It is expressed in percentages and therefore allows for rankings in the same way as standard deviation. An intuitive way to view the downside risk is the annualized standard deviation of returns below the target. Below is JAMES BALANCED:'s current Downside Deviation with peer comparisons and related risk metrics.
Current Downside Deviation Value
With Downside Deviation at 0.5636, JAMES BALANCED: shows low price variability. This places JAMES BALANCED: at the lower end of the volatility range for Mutual Fund Funds.
Downside Deviation | = | SQRT(DV) |
| = | 0.5636 | |
Downside Deviation Peers Comparison
Relative to peers, JAMES BALANCED:'s Downside Deviation is below the group average of 1.04. Peer readings range from 0.5841 (Cboe Vest Sampp) to 2.1 (Calamos Evolving World), reflecting wide dispersion across the sector. JAMES BALANCED: has exhibited less price dispersion than the peer average over the measured period.
Downside Deviation Relative To Other Indicators
The chart below plots Downside Deviation against Maximum Drawdown for James Balanced and its peers. Each point represents one equity — position along the horizontal axis shows Downside 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.
JAMES BALANCED:'s Maximum Drawdown of
2.59 runs about
4.59 times its Downside Deviation of
0.56 . This indicates Maximum Drawdown is significantly higher than Downside Deviation for JAMES BALANCED:.
Methodology, Assumptions & Data Sources
The current Downside Deviation for JAMES BALANCED: is 0.5636. The Downside Deviation for JAMES BALANCED: applies a standardized calculation to daily closing prices and, where applicable, volume data across the selected period. 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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