FT Cboe Variance
| XISE Etf | | | 29.92 -0.05 -0.17% |
The Variance lookup presents technical context for FT Cboe Vest and related instruments. Some instruments may have limited coverage due to data differences;
Equity Screeners lists screening tools.
Your Current Watchlist provides context for diversified portfolio design. Clearer exposure analysis supports long-term portfolio balance. This reflects a position in FT Cboe Vest within the portfolio mix. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in main economic indicators.
FT Cboe Vest has current Variance of 0.0274. Variance is another measure of security risk that shows the amount of dispersion of equity returns around their mean value. Variance is calculated as the average squared deviations from the mean. Evaluating a set of investment alternatives one can use variance to help determine the volatility when purchasing a specific security. Similar to Standard Deviation, the variance is a measure of how far a set of numbers is spread out around its mean.
Variance | = | SUM(RET DEV)2N |
| = | 0.0274 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
FT Cboe Variance Peers Comparison
XISE Variance Relative To Other Indicators
FT Cboe Vest is rated
below average for variance among peer ETFs. It is currently under evaluation for maximum drawdown among peer ETFs with a Maximum Drawdown-to-Variance ratio near
31.58 . The Maximum Drawdown to Variance ratio for FT Cboe Vest comes in at
31.58 Variance is also a measure of stock volatility and can help determine the risk an investor might take on when purchasing a specific security. A relatively big variance indicates that the daily prices or returns are far from the mean and a small variance indicates that they are located around the mean.
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.