Guinness Global (Ireland) Risk Analysis And Volatility

IE00BQXX3F31 -- Ireland Fund  

USD 10.56  0.38  3.47%

Our philosophy towards determining volatility of a fund is to use all available market data together with fund specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Guinness Global Inno which you can use to evaluate future volatility of the entity. Please check out Guinness Global to validate if risk estimate we provide are consistent with the epected return of 0.0%.

60 Days Market Risk

Unknown risk

Chance of Distress in 24 months

Unknown Odds

60 Days Economic Sensitivity

Insignificant
Horizon     30 Days    Login   to change

Guinness Global Inno Technical Analysis

Transformation
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Guinness Global Projected Return Density Against Market

Assuming 30 trading days horizon, Guinness Global has beta of 0.0 . This indicates the returns on DOW and Guinness Global do not appear to be sensitive. Furthermore, It does not look like the company alpha can have any bearing on the equity current valuation.
α
Alpha over DOW
=0.00
β
Beta against DOW=0.00
σ
Overall volatility
=0.00
Ir
Information ratio =0.00

Guinness Global Return Volatility

the fund accepts 0.0% volatility on return distribution over the 30 days horizon. the entity inherits 0.0% risk (volatility on return distribution) over the 30 days horizon.
 Performance (%) 
      Timeline 

Guinness Global Investment Opportunity

DOW has a standard deviation of returns of 0.81 and is 9.223372036854776E16 times more volatile than Guinness Global Innovators C USD ACC. 0% of all equities and portfolios are less risky than Guinness Global. Compared to the overall equity markets, volatility of historical daily returns of Guinness Global Innovators C USD ACC is lower than 0 (%) of all global equities and portfolios over the last 30 days.

Guinness Global Current Risk Indicators

Guinness Global Suggested Diversification Pairs

Please also check Risk vs Return Analysis. Please also try Price Transformation module to use price transformation models to analyze depth of different equity instruments across global markets.
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