Salient Mlp Semi Variance
| SMAPX Fund | | | USD 12.35 0.21 1.73% |
Semi-variance provides a good measure of downside volatility for equity or a portfolio. It is similar to variance, but it only looks at periods where the returns are less than the target or average level. Below is Salient Mlp's current Semi Variance with peer comparisons and related risk metrics.
Current Semi Variance Value
At 0.4424, Salient Mlp exhibits low price variability in Semi Variance. This places Salient Mlp at the lower end of the volatility range for Salient Funds.
Semi Variance | = | SUM(RET DEV)2N(ZERO) |
| = | 0.4424 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual return deviation over selected period |
| N(ZERO) | = | Number of points with returns less than zero |
Semi Variance Peers Comparison
Among sector peers, Salient Mlp's Semi Variance of 0.4424 is below the 0.86 group average. The range runs from 0.1768 (Wells Fargo Index) to 2.49 (Johcm Emerging Markets). Salient Mlp has exhibited less price dispersion than the peer average over the measured period.
Semi Variance Relative To Other Indicators
The chart below plots Semi Variance against Maximum Drawdown for Salient Mlp and its peers. Each point represents one equity — position along the horizontal axis shows Semi 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.
Salient Mlp's Maximum Drawdown of
5.08 runs about
11.48 times its Semi Variance of
0.44 . This indicates Maximum Drawdown substantially exceeds Semi Variance for Salient Mlp.
Methodology, Assumptions & Data Sources
Salient Mlp's Semi Variance currently stands at 0.4424. Semi Variance for Salient Mlp is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. The underlying data comes from exchange-reported daily closes with corporate action adjustments applied where relevant. Salient Mlp operates in the energy limited partnership sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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