Europacific Growth Downside Variance
| AEPGX Fund | | | USD 65.86 0.59 0.90% |
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 Europacific Growth's current Downside Variance with peer comparisons and related risk metrics.
Current Downside Variance Value
The current Downside Variance of 1.64 places Europacific Growth at moderate price variability. This places Europacific Growth within the typical volatility range for Mutual Fund Funds.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 1.64 | |
| 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, Europacific Growth's Downside Variance of 1.64 is above the 1.36 group average. The range runs from 1.15 (Capital World Growth) to 1.64 (Europacific Growth Fund). Europacific Growth 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 Europacific Growth 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.
Europacific Growth's Maximum Drawdown of
6.26 runs about
3.83 times its Downside Variance of
1.64 . This indicates Maximum Drawdown is significantly higher than Downside Variance for Europacific Growth.
Methodology, Assumptions & Data Sources
Europacific Growth has a current Downside Variance reading of 1.64. Downside Variance for Europacific Growth is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. Inputs are drawn from end-of-day closing prices reported by supported exchanges, adjusted for splits and dividends where applicable. The calculation assumes continuous price data across the selected period. All readings are presented as reference data.
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