| NA Etf | | | USD 4.32 0.67 13.43% |
Nano Labs jensen-alpha technical analysis lookup allows you to check this and other technical indicators for Nano Labs 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
Nano Labs has current Jensen Alpha of 2.66. 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]) |
| = | 2.66 | |
| ER[a] | = | Expected return on investing in Nano Labs |
| ER[b] | = | Expected return on market index or selected benchmark |
| BETA | = | Beta coefficient between Nano Labs and the market |
| RFR | = | Risk Free Rate of return. Typically T-Bill Rate |
Nano Labs Jensen Alpha Peers Comparison
Nano Jensen Alpha Relative To Other Indicators
Nano Labs is rated number one ETF in jensen alpha as compared to similar ETFs. It is currently under evaluation in maximum drawdown as compared to similar ETFs reporting about
60.38 of Maximum Drawdown per Jensen Alpha. The ratio of Maximum Drawdown to Jensen Alpha for Nano Labs is roughly
60.38 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.