| 002460 Stock | | | 40.99 0.15 0.36% |
Jiangxi Ganfeng total-risk-alpha technical analysis lookup allows you to check this and other technical indicators for Jiangxi Ganfeng Lithium 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
Jiangxi Ganfeng Lithium has current Total Risk Alpha of 0.0785. The total risk alpha measures the performance of an asset by comparing its returns with those of a selected benchmark portfolio.
Total Risk Alpha | = | RFR + (ER[b] - ER[a]) | x | STD[a] / STD[b] |
| = | 0.0785 | |
| ER[a] | = | Expected return on investing in Jiangxi Ganfeng |
| ER[b] | = | Expected return on market index or selected benchmark |
| STD[a] | = | Standard Deviation of returns on Jiangxi Ganfeng |
| STD[b] | = | Standard Deviation of selected market or benchmark |
| RFR | = | Risk Free Rate of return. Typically T-Bill Rate |
Jiangxi Ganfeng Total Risk Alpha Peers Comparison
Jiangxi Total Risk Alpha Relative To Other Indicators
Jiangxi Ganfeng Lithium is rated
second in total risk alpha category among its peers. It is currently under evaluation in maximum drawdown category among its peers reporting about
254.82 of Maximum Drawdown per Total Risk Alpha. The ratio of Maximum Drawdown to Total Risk Alpha for Jiangxi Ganfeng Lithium is roughly
254.82 The benchmark portfolio represents the market risk matched to the total risk of the stock ETF or fund.
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.