Great Northern Market Risk Adjusted Performance

GNM Stock   0.01  0  6.67%   
Great Northern market-risk-adjusted-performance technical analysis lookup allows you to check this and other technical indicators for Great Northern Minerals 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
  
Great Northern Minerals has current Market Risk Adjusted Performance of 0.1639.

MRAP

 = 

ER[a] + (1/BETA - 1)

X

ER[a] - RFR)

 = 
0.1639
ER[a] = Expected return on investing in Great Northern
RFR = Risk Free Rate of return. Typically T-Bill Rate
BETA = Beta of the asset with market or selected benchmark.

Great Northern Market Risk Adjusted Performance Peers Comparison

Great Market Risk Adjusted Performance Relative To Other Indicators

Great Northern Minerals is rated # 3 in market risk adjusted performance category among its peers. It is currently under evaluation in maximum drawdown category among its peers reporting about  163.43  of Maximum Drawdown per Market Risk Adjusted Performance. The ratio of Maximum Drawdown to Market Risk Adjusted Performance for Great Northern Minerals is roughly  163.43 
Compare Great Northern to Peers

Thematic Opportunities

Explore Investment Opportunities

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.
Explore Investing Ideas