Tortoise Energy Semi Deviation
| TYG Stock | | | USD 46.35 -0.01 -0.02% |
Semi-deviation provides a good measure of downside risk for a equity or a portfolio. It is similar to standard deviation, but it only looks at periods where the returns are less than the target or average level. Below is Tortoise Energy's current Semi Deviation with peer comparisons and related risk metrics.
Current Semi Deviation Value
The Semi Deviation of 2.02 for Tortoise Energy indicates moderate price variability. This places Tortoise Energy within the typical volatility range for Asset Management & Custody Banks.
Semi Deviation | = | SQRT(SV) |
| = | 2.02 | |
Semi Deviation Peers Comparison
Tortoise Energy falls above the 1.3 peer average for Semi Deviation. Enterprise Financial Services leads at 1.7 while Nuveen Select Tax Free registers the lowest at 0.6542. Tortoise Energy has exhibited greater price dispersion than the peer average over the measured period.
Semi Deviation Relative To Other Indicators
The chart below plots Semi Deviation against Maximum Drawdown for Tortoise Energy and its peers. Each point represents one equity — position along the horizontal axis shows Semi 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.
Tortoise Energy records a Semi Deviation of
2.02 and a Maximum Drawdown of
10.94 , yielding roughly
5.40 units of Maximum Drawdown per Semi Deviation. This indicates Maximum Drawdown substantially exceeds Semi Deviation for Tortoise Energy.
Methodology, Assumptions & Data Sources
Tortoise Energy has a current Semi Deviation reading of 2.02. The Semi Deviation for Tortoise Energy is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. Inputs are drawn from end-of-day closing prices reported by supported exchanges, adjusted for splits and dividends where applicable. Tortoise Energy operates in the financial services 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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