Mediolanum (Ireland) Probability of Target Price Finishing Over Current Price

    F000001AAY -- Ireland Fund  

    EUR 17.43  0.22  1.25%

    Mediolanum probability of target price tool provides mechanism to make assumptions about upside and downside potential of Mediolanum BB MS Glbl Sel S A performance during a given time horizon utilizing its historical volatility. Please specify Mediolanum time horizon, a valid symbol (red box) and a target price (blue box) you would like Mediolanum odds to be computed. Additionally see Investing Opportunities.
    Horizon     30 Days    Login   to change
    Refresh Odds

    Mediolanum Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     17.43 30 days 17.43  ABOUT 34.67%
    Based on normal probability distribution, the odds of Mediolanum to move above current price in 30 days from now is about 34.67% (This Mediolanum BB MS Glbl Sel S A probability density function shows the probability of Mediolanum Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Mediolanum BB MS Glbl Sel S A has beta of -0.1674 suggesting as returns on benchmark increase, returns on holding Mediolanum are expected to decrease at a much smaller rate. During bear market, however, Mediolanum BB MS Glbl Sel S A is likely to outperform the market. Additionally Mediolanum BB MS Glbl Sel S A has an alpha of 0.2769 implying that it can potentially generate 0.2769% excess return over DOW after adjusting for the inherited market risk (beta).
     Mediolanum Price Density 
    Alpha over DOW
    Beta against DOW=0.17
    Overall volatility
    Information ratio =0.38

    Mediolanum Alerts

    Mediolanum Alerts and Suggestions

    Mediolanum BB MS is not yet fully synchronised with the market data
    The fund retains about 17.56% of its assets under management (AUM) in cash

    Price Density Drivers

    Mediolanum Health Indicators

    Additionally see Investing Opportunities. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.