| S Stock | | | THB 0.91 0.01 1.09% |
Singha Estate coefficient-of-variation technical analysis lookup allows you to check this and other technical indicators for Singha Estate Public 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
Singha Estate Public has current Coefficient Of Variation of 3114.46. 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 |
| = | 3114.46 | |
Singha Estate Coefficient Of Variation Peers Comparison
Singha Coefficient Of Variation Relative To Other Indicators
Singha Estate Public is currently regarded as top stock in coefficient of variation category among its peers. It is currently under evaluation in maximum drawdown category among its peers reporting about
0.01 of Maximum Drawdown per Coefficient Of Variation. The ratio of Coefficient Of Variation to Maximum Drawdown for Singha Estate Public is roughly
171.66 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.