FT Cboe Downside Variance
| DFEB Etf | | | USD 47.98 -0.34 -0.70% |
FT Cboe downside variance lookup summarizes this and related technical indicators for FT Cboe Vest. Coverage depends on data availability and normalization;
Equity Screeners provides additional screening context. Use
Investing Opportunities to better understand diversified portfolio construction. Clearer exposure analysis supports long-term portfolio balance. This includes a position in FT Cboe Vest in the portfolio view. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in housing.
FT Cboe Vest has current Downside Variance of 0.1296. 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.
Downside Variance | = | SUM(RET DEV)2N(ER) |
| = | 0.1296 | |
| 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 |
FT Cboe Downside Variance Peers Comparison
DFEB Downside Variance Relative To Other Indicators
FT Cboe Vest is rated
below average. in downside variance as compared to similar ETFs. It is currently under evaluation. in maximum drawdown as compared to similar ETFs reporting about
12.34 of Maximum Drawdown per Downside Variance. The ratio of Maximum Drawdown to Downside Variance for FT Cboe Vest is roughly
12.34 Downside Variance is the probability-weighted squared below-target returns. The squaring of the below-target returns has the effect of penalizing failures at an exponential rate. This is consistent with observations made on the behavior of individual decision-making under.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.