FIDELITY ADVISOR Downside Variance
| FZABX Fund | | | USD 31.06 0.31 1.01% |
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 FIDELITY ADVISOR's current Downside Variance with peer comparisons and related risk metrics.
Current Downside Variance Value
The Downside Variance of 2.07 for FIDELITY ADVISOR indicates moderate price variability. This places FIDELITY ADVISOR within the typical volatility range for Mutual Fund Funds.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 2.07 | |
| 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
FIDELITY ADVISOR falls above the 1.2 peer average for Downside Variance. Sit Emerging Markets leads at 2.41 while Fidelity Advisor Dividend registers the lowest at 0.282. FIDELITY ADVISOR has exhibited greater 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 Fidelity Advisor 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.
FIDELITY ADVISOR's Maximum Drawdown of
7.05 runs about
3.41 times its Downside Variance of
2.07 . This indicates Maximum Drawdown is significantly higher than Downside Variance for FIDELITY ADVISOR.
Methodology, Assumptions & Data Sources
The current Downside Variance for FIDELITY ADVISOR is 2.07. Downside Variance for FIDELITY ADVISOR is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. 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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