FT Cboe Value At Risk
| FJUN Etf | | | USD 56.98 -0.48 -0.84% |
The Value At Risk 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.
Investing Opportunities provides context for diversified portfolio design. Additional portfolio transparency improves capital positioning. The allocation includes a position in FT Cboe Vest across the allocation. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as
signals in manufacturing.
FT Cboe Vest has current Value At Risk of
-0.50. Value At Risk (or VAR) is a statistical technique used to measure the level of financial risk of investment instrument over a specific time frame. It is a widely used measure of the risk of loss on a specific investing instrument.
Value At Risk | = | ER[a] x N | + | (Z-SCORE x STD x SQRT (N)) |
| = | -0.50 | |
| ER[a] | = | Expected return on investing in FT Cboe |
| STD | = | Standard Deviation of FT Cboe |
| N | = | Number of points for the period |
| Z-SCORE | = | Number of standard deviations above or below the mean |
FT Cboe Value At Risk Peers Comparison
FJUN Value At Risk Relative To Other Indicators
FT Cboe Vest currently holds the
# 3 position in value at risk as compared to similar ETFs. It is currently under evaluation. in maximum drawdown as compared to similar ETFs .
Value At Risk is used by risk managers in order to measure and control the level of risk which the firm undertakes. The risk manager job is to ensure that risks are not taken beyond the level at which the firm can absorb the losses of a probable worst outcome. VAR can be defined as the loss level that will not be exceeded with a certain confidence level during a certain period of time.
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.