| SGML Stock | | | USD 13.33 0.49 3.55% |
Sigma Lithium jensen-alpha technical analysis lookup allows you to check this and other technical indicators for Sigma Lithium Resources 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
Sigma Lithium Resources has current Jensen Alpha of 0.4033. Jensen alpha is a measure of the returns that are attributable to the managers' ability to select security and time the market. In other words, it is the returns remaining after deducting what would have been attributable to beta returns (which do not require skill) and the risk-freerate.
Jensen Alpha | = | ER[a] - RFR * (1-BETA) | - | BETA * ER[b]) |
| = | 0.4033 | |
| ER[a] | = | Expected return on investing in Sigma Lithium |
| ER[b] | = | Expected return on market index or selected benchmark |
| BETA | = | Beta coefficient between Sigma Lithium and the market |
| RFR | = | Risk Free Rate of return. Typically T-Bill Rate |
Sigma Lithium Jensen Alpha Peers Comparison
Sigma Jensen Alpha Relative To Other Indicators
Sigma Lithium Resources is rated
below average in jensen alpha category among its peers. It is currently under evaluation in maximum drawdown category among its peers reporting about
44.73 of Maximum Drawdown per Jensen Alpha. The ratio of Maximum Drawdown to Jensen Alpha for Sigma Lithium Resources is roughly
44.73 Jensen alpha is the difference between the return of the portfolio, and what the portfolio should theoretically have earned. Any portfolio can be expected to earn the risk-free rate (RF), plus the market risk premium (which is given by [Beta x (Market Portfolio Return - Risk-Free Rate)]. Anything remaining over and above is alpha.
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.