| XSD Etf | | | MXN 5,216 2.20 0.04% |
SPDR Series variance technical analysis lookup allows you to check this and other technical indicators for SPDR Series 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
SPDR Series Trust has current Variance of 7.52. 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 |
| = | 7.52 | |
| SUM | = | Summation notation |
| RET DEV | = | Actual returns deviation over selected period |
| N | = | Number of points for the period |
SPDR Series Variance Peers Comparison
SPDR Variance Relative To Other Indicators
SPDR Series Trust is rated
first in variance as compared to similar ETFs. It is currently under evaluation in maximum drawdown as compared to similar ETFs reporting about
2.89 of Maximum Drawdown per Variance. The ratio of Maximum Drawdown to Variance for SPDR Series Trust is roughly
2.89 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.