| TSYE Etf | | | EUR 92.50 0.10 0.11% |
SPDR Barclays coefficient-of-variation technical analysis lookup allows you to check this and other technical indicators for SPDR Barclays Cap 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
SPDR Barclays Cap has current Coefficient Of Variation of 516.43. Coefficient of Variation (or CV) is a normalized measure of dispersion of a probability distribution. It is also known as the variation coefficient or simply unitized risk. The absolute value of the Coefficient of Variation is sometimes called Relative Standard Deviation (or RSD), which is expressed as a percentage.
Coefficient Of Variation | = | STDER |
| = | 516.43 | |
SPDR Barclays Coefficient Of Variation Peers Comparison
SPDR Coefficient Of Variation Relative To Other Indicators
SPDR Barclays Cap is rated
fifth largest ETF in coefficient of variation as compared to similar ETFs. It is currently under evaluation in maximum drawdown as compared to similar ETFs reporting about
0 of Maximum Drawdown per Coefficient Of Variation. The ratio of Coefficient Of Variation to Maximum Drawdown for SPDR Barclays Cap is roughly
300.72 CV is the measure of price and return dispersion, sometimes known as unitized risk or the variation coefficient. The CV is derived from the ratio of the standard deviation to the non-zero mean and the absolute value is taken for the mean to ensure it always positive. It is sometimes expressed as a percentage, in which case the CV is multiplied by 100. Coefficient of Variation for a single equity instrument describes the dispersion of price movement or daily returns. The higher the Coefficient of Variation, the greater the dispersion of prices, and the more riskier is the asset.
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.