ALPS/ALERIAN ENERGY Downside Variance
| ALEFX Fund | | | USD 15.14 -0.14 -0.92% |
Downside Variance (or DV) is measured by target semi-variance and is termed downside volatility. It is expressed in percentages and therefore allows for rankings in the same way as variance. One way to view downside volatility is the annualized variance of returns below the target. Below is ALPS/ALERIAN ENERGY's current Downside Variance with peer comparisons and related risk metrics.
Current Downside Variance Value
With Downside Variance at 0.8736, ALPS/ALERIAN ENERGY shows low price variability. This places ALPS/ALERIAN ENERGY at the lower end of the volatility range for Mutual Fund Funds.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 0.8736 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N(ER) | = | Number of points with returns less than expected return for the period |
Downside Variance Peers Comparison
Among sector peers, ALPS/ALERIAN ENERGY's Downside Variance of 0.8736 is below the 1.57 group average. The range runs from 0.7628 (Harbor Mid Cap) to 3.69 (Kennedy Capital Small). ALPS/ALERIAN ENERGY has exhibited less price dispersion than the peer average over the measured period.
Downside Variance Relative To Other Indicators
The chart below plots Downside Variance against Maximum Drawdown for Alpsalerian Energy and its peers. Each point represents one equity — position along the horizontal axis shows Downside Variance 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.
ALPS/ALERIAN ENERGY's Maximum Drawdown of
5.17 runs about
5.91 times its Downside Variance of
0.87 . This indicates Maximum Drawdown substantially exceeds Downside Variance for ALPS/ALERIAN ENERGY.
Methodology, Assumptions & Data Sources
ALPS/ALERIAN ENERGY has a current Downside Variance reading of 0.8736. The Downside Variance for ALPS/ALERIAN ENERGY is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. The output reflects the selected calculation window — changing the horizon will produce different readings. This fund metric is provided for analytical reference.
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