AllianzGI Equity Downside Deviation
| NIE Fund | | | USD 26.40 -0.17 -0.64% |
Downside Deviation (or DD) is measured by target semi-deviation (the square root of target semi-variance) and is termed downside risk. It is expressed in percentages and therefore allows for rankings in the same way as standard deviation. An intuitive way to view the downside risk is the annualized standard deviation of returns below the target. Below is AllianzGI Equity's current Downside Deviation with peer comparisons and related risk metrics.
Current Downside Deviation Value
A Downside Deviation of 0.8386 for AllianzGI Equity signals low price variability. This places AllianzGI Equity at the lower end of the volatility range for Fund Funds.
Downside Deviation | = | SQRT(DV) |
| = | 0.8386 | |
Downside Deviation Peers Comparison
Relative to peers, AllianzGI Equity's Downside Deviation is below the group average of 1.25. Peer readings range from 0.7751 (Western Asset Diversified) to 2.29 (Ultranasdaq 100 Profund Ultranasdaq 100), reflecting wide dispersion across the sector. AllianzGI Equity has exhibited less price dispersion than the peer average over the measured period.
Downside Deviation Relative To Other Indicators
The chart below plots Downside Deviation against Maximum Drawdown for Allianzgi Equity and its peers. Each point represents one equity — position along the horizontal axis shows Downside 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.
With Downside Deviation at
0.84 and Maximum Drawdown at
4.11 , AllianzGI Equity shows a
4.90 -to-one ratio between these indicators. This indicates Maximum Drawdown is significantly higher than Downside Deviation for AllianzGI Equity.
Methodology, Assumptions & Data Sources
AllianzGI Equity has a current Downside Deviation reading of 0.8386. AllianzGI Equity's Downside Deviation is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. Price data is sourced from standardized end-of-day feeds across supported exchanges, normalized for corporate actions. 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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