GAM Star (Ireland) Probability of Target Price Finishing Over Current Price

    IE00B5B29K21 -- Ireland Fund  

    EUR 10.64  0.02  0.19%

    GAM Star probability of target price tool provides mechanism to make assumptions about upside and downside potential of GAM Star Emerging Market Rates A EUR Acc performance during a given time horizon utilizing its historical volatility. Please specify GAM Star time horizon, a valid symbol (red box) and a target price (blue box) you would like GAM Star odds to be computed. Please also check Risk vs Return Analysis.
    Horizon     30 Days    Login   to change
    Symbol:
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    GAM Star Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     10.64 30 days 10.64  ABOUT 23.56%
    Based on normal probability distribution, the odds of GAM Star to move above current price in 30 days from now is about 23.56% (This GAM Star Emerging Market Rates A EUR Acc probability density function shows the probability of GAM Star Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, GAM Star Emerging Market Rates A EUR Acc has beta of -0.0505 . This indicates 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 Emerging Market Rates A EUR Acc is likely to outperform the market. Additionally GAM Star Emerging Market Rates A EUR Acc has an alpha of 0.0472 implying that it can potentially generate 0.0472% excess return over DOW after adjusting for the inherited market risk (beta).
     GAM Star Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.047239
    β
    Beta against DOW=0.05
    σ
    Overall volatility
    =5.65
    Ir
    Information ratio =0.14

    GAM Star Alerts

    GAM Star Alerts and Suggestions

    The fund retains about 81.01% of its assets under management (AUM) in cash
    Please also check Risk vs Return Analysis. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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