QUANTEX FUND Downside Variance
| FLCGX Fund | | | USD 40.08 0.64 1.62% |
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 QUANTEX FUND's current Downside Variance with peer comparisons and related risk metrics.
Current Downside Variance Value
QUANTEX FUND has a Downside Variance of 0.8003, indicating low price variability. This places QUANTEX FUND at the lower end of the volatility range for Mutual Fund Funds.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 0.8003 | |
| 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
The peer group averages 2.24 for Downside Variance, with QUANTEX FUND at 0.8003 falling below that level. Readings span 0.1243 (Innovator Equity Managed) to 15.31 (Midas Fund Midas). QUANTEX FUND has exhibited less 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 Quantex Fund 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.
QUANTEX FUND's Maximum Drawdown of
3.91 runs about
4.88 times its Downside Variance of
0.80 . This indicates Maximum Drawdown is significantly higher than Downside Variance for QUANTEX FUND.
Methodology, Assumptions & Data Sources
The current Downside Variance for QUANTEX FUND is 0.8003. The Downside Variance for QUANTEX FUND is produced by transforming raw price history into a standardized measure according to the indicator's defined methodology. 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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