| AAA Etf | | | USD 25.13 0.02 0.08% |
Listed Funds skewness technical analysis lookup allows you to check this and other technical indicators for Listed Funds Trust or any other equities. You can select from a set of available technical indicators by clicking on the link to the right. Please note, not all equities are covered by this module due to inconsistencies in global equity categorizations and data normalization technicques. Please check also
Equity Screeners to view more equity screening tools
Listed Funds Trust has current Skewness of 0.8753. Skewness describes asymmetry of returns from the normal distribution. It can come in the form of negative skewness or positive skewness, depending on whether data points are skewed to the left (negative skew) or to the right (positive skew) of the data average.
Listed Funds Skewness Peers Comparison
Listed Skewness Relative To Other Indicators
Listed Funds Trust is
third largest ETF in skewness as compared to similar ETFs. It is currently under evaluation in maximum drawdown as compared to similar ETFs reporting about
0.78 of Maximum Drawdown per Skewness. The ratio of Skewness to Maximum Drawdown for Listed Funds Trust is roughly
1.28 Skewness risk is the risk that a model assumes a normal distribution of instrument returns when in fact the returns are skewed to the left or right of the mean. A positive skew indicates that the tail on the right side is longer than the left side and the bulk of the values lie to the left of the mean. A zero value indicates that the values are relatively evenly distributed on both sides of the mean, typically (but not necessarily), implying a symmetric distribution.
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.
