Gabelli Convertible Downside Deviation

GCV Fund  USD 4.57  0.06  1.33%   
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 Gabelli Convertible's current Downside Deviation with peer comparisons and related risk metrics.

Current Downside Deviation Value

Gabelli Convertible registers a Downside Deviation of 1.22, reflecting moderate price variability. This places Gabelli Convertible within the typical volatility range for Fund Funds.

Downside Deviation

=

SQRT(DV)

 = 
1.22
SQRT = Square root notation
DV =   Downside Variance of returns over selected period

Downside Deviation Peers Comparison

Gabelli Convertible falls above the 0.99 peer average for Downside Deviation. Hennessy Large Cap leads at 1.67 while Aberdeen Global High registers the lowest at 0.2828. Gabelli Convertible has exhibited greater 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 Gabelli Convertible 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.
Gabelli Convertible produces 5.09 in Maximum Drawdown for each unit of Downside Deviation, with respective readings of 6.23 and 1.22 . This indicates Maximum Drawdown substantially exceeds Downside Deviation for Gabelli Convertible.
Compare Gabelli Convertible to Peers

Methodology, Assumptions & Data Sources

Gabelli Convertible's Downside Deviation currently stands at 1.22. Downside Deviation for Gabelli Convertible is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. Price data is sourced from standardized end-of-day feeds across supported exchanges, normalized for corporate actions. The calculation assumes continuous price data across the selected period. All readings are presented as reference data.

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