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

    F000000GLD -- Ireland Fund  

    EUR 13.84  0.02  0.14%

    Mediolanum probability of target price tool provides mechanism to make assumptions about upside and downside potential of Mediolanum Ch Provident 3 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
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    Mediolanum Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     13.84 30 days 13.84  ABOUT 36.31%
    Based on normal probability distribution, the odds of Mediolanum to move above current price in 30 days from now is about 36.31% (This Mediolanum Ch Provident 3 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 has beta of 0.0824 suggesting as returns on market go up, Mediolanum average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Mediolanum Ch Provident 3 will be expected to be much smaller as well. Additionally The company has a negative alpha implying that the risk taken by holding this equity is not justified. Mediolanum Ch Provident is significantly underperforming DOW.
     Mediolanum Price Density 
          Price 
    α
    Alpha over DOW
    =0.07
    β
    Beta against DOW=0.08
    σ
    Overall volatility
    =4.45
    Ir
    Information ratio =0.44

    Mediolanum Alerts

    Mediolanum Alerts and Suggestions

    Mediolanum is not yet fully synchronised with the market data
    The fund retains about 28.83% of its assets under management (AUM) in cash

    Price Density Drivers

    Mediolanum Health Indicators

    Additionally see Investing Opportunities. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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