GlobalAccess Emerg (Ireland) Risk Analysis And Volatility Evaluation

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 GlobalAccess Emerg Mkt which you can use to evaluate future volatility of the entity. Please check out GlobalAccess Emerg to validate if risk estimate we provide are consistent with the epected return of 0.0%.
Horizon     30 Days    Login   to change

GlobalAccess Emerg Mkt Technical Analysis

Transformation
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GlobalAccess Emerg Projected Return Density Against Market

Assuming 30 trading days horizon, GlobalAccess Emerg has beta of 0.0 . This indicates unless we do not have required data, the returns on DOW and GlobalAccess Emerg are completely uncorrelated. Furthermore, GlobalAccess Emerg Mkt Equity Z AccIt does not look like GlobalAccess Emerg 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

GlobalAccess Emerg Return Volatility

GlobalAccess Emerg Mkt Equity Z Acc accepts 0.0% volatility on return distribution over the 30 days horizon. DOW inherits 1.2765% risk (volatility on return distribution) over the 30 days horizon.
 Performance (%) 
      Timeline 

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Investment Outlook

GlobalAccess Emerg Investment Opportunity

DOW has a standard deviation of returns of 1.28 and is 9.223372036854776E16 times more volatile than GlobalAccess Emerg Mkt Equity Z Acc. 0% of all equities and portfolios are less risky than GlobalAccess Emerg. Compared to the overall equity markets, volatility of historical daily returns of GlobalAccess Emerg Mkt Equity Z Acc is lower than 0 (%) of all global equities and portfolios over the last 30 days.

GlobalAccess Emerg Volatility Indicators

GlobalAccess Emerg Mkt Equity Z Acc Current Risk Indicators

Please also check Risk vs Return Analysis. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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