BlackRock ICS (Ireland) Probability of Target Price Finishing Over

    F00000N8M1 -- Ireland Fund  

    GBp 10,691  1.00  0.0094%

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

    BlackRock ICS Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     10,691 30 days 10,691  ABOUT 23.38%
    Based on normal probability distribution, the odds of BlackRock ICS to move above current price in 30 days from now is about 23.38% (This BlackRock ICS Sterling Liq Age probability density function shows the probability of BlackRock ICS Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, BlackRock ICS Sterling Liq Age has beta of -0.0028 suggesting as returns on benchmark increase, returns on holding BlackRock ICS are expected to decrease at a much smaller rate. During bear market, however, BlackRock ICS Sterling Liq Age is likely to outperform the market. Additionally BlackRock ICS Sterling Liq Age has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     BlackRock ICS Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.0017
    β
    Beta against DOW=0.0028
    σ
    Overall volatility
    =5,528
    Ir
    Information ratio =2.94

    BlackRock ICS Alerts

    BlackRock ICS Alerts and Suggestions
    The fund retains about 100.0% of its assets under management (AUM) in cash
    Additionally see Investing Opportunities. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.