GAM Star (Ireland) Risk Analysis And Volatility Evaluation

F00000V6SK -- Ireland Fund  

USD 10.22  0.72  6.58%

Macroaxis considers GAM Star to be unknown risk. GAM Star India holds Efficiency (Sharpe) Ratio of -0.1891 which attests that GAM Star India had -0.1891% of return per unit of risk over the last 1 month. Macroaxis approach towards determining risk of any fund is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. GAM Star India exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. Please be advised to check out GAM Star to validate risk estimate we provide.
Horizon     30 Days    Login   to change

GAM Star Market Sensitivity

As returns on market increase, returns on owning GAM Star are expected to decrease at a much smaller rate. During bear market, GAM Star is likely to outperform the market.
One Month Beta |Analyze GAM Star India Demand Trend
Check current 30 days GAM Star correlation with market (DOW)
β = -0.0661
GAM Star Almost negative betaGAM Star India Beta Legend

GAM Star India Technical Analysis

Transformation
We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.

GAM Star Projected Return Density Against Market

Assuming 30 trading days horizon, GAM Star India Equity Inst USD Acc has beta of -0.0661 suggesting as returns on benchmark increase, returns on holding GAM Star are expected to decrease at a much smaller rate. During bear market, however, GAM Star India Equity Inst USD Acc is likely to outperform the market. Moreover, GAM Star India Equity Inst USD Acc has an alpha of 0.1219 implying that it can potentially generate 0.1219% excess return over DOW after adjusting for the inherited market risk (beta).
 Predicted Return Density 
      Returns 
Assuming 30 trading days horizon, the coefficient of variation of GAM Star is -528.93. The daily returns are destributed with a variance of 129.65 and standard deviation of 11.39. The mean deviation of GAM Star India Equity Inst USD Acc is currently at 8.07. For similar time horizon, the selected benchmark (DOW) has volatility of 1.09
α
Alpha over DOW
=0.12
β
Beta against DOW=0.07
σ
Overall volatility
=11.39
Ir
Information ratio =0.47

GAM Star Return Volatility

GAM Star India Equity Inst USD Acc accepts 11.3865% volatility on return distribution over the 30 days horizon. DOW inherits 1.0635% risk (volatility on return distribution) over the 30 days horizon.
 Performance (%) 
      Timeline 

Market Risk Breakdown

GAM Star Volatility Factors

30 Days Market Risk

Unknown risk

Chance of Distress in 24 months

Unknown Distress

30 Days Economic Sensitivity

Insignificant

Investment Outlook

GAM Star Investment Opportunity

GAM Star India Equity Inst USD Acc has a volatility of 11.39 and is 10.75 times more volatile than DOW. 96% of all equities and portfolios are less risky than GAM Star. Compared to the overall equity markets, volatility of historical daily returns of GAM Star India Equity Inst USD Acc is higher than 96 (%) of all global equities and portfolios over the last 30 days. Use GAM Star India Equity Inst USD Acc to protect against small markets fluctuations. The fund experiences very speculative upward sentiment.. Check odds of GAM Star to be traded at $9.71 in 30 days. As returns on market increase, returns on owning GAM Star are expected to decrease at a much smaller rate. During bear market, GAM Star is likely to outperform the market.

GAM Star correlation with market

Good diversification
Overlapping area represents the amount of risk that can be diversified away by holding GAM Star India Equity Inst USD and equity matching DJI index in the same portfolio.

GAM Star Volatility Indicators

GAM Star India Equity Inst USD Acc Current Risk Indicators

Additionally see Investing Opportunities. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.
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