BlackRock ISF (Ireland) Probability of Target Price Finishing Over Current Price

    IE00B4ZF3F31 -- Ireland Fund  

    EUR 12.77  0.01  0.08%

    BlackRock ISF probability of target price tool provides mechanism to make assumptions about upside and downside potential of BlackRock ISF EM Fdmtl Wtd Idx performance during a given time horizon utilizing its historical volatility. Please specify BlackRock ISF time horizon, a valid symbol (red box) and a target price (blue box) you would like BlackRock ISF odds to be computed. Please also check Risk vs Return Analysis.
    Horizon     30 Days    Login   to change
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    BlackRock ISF Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     12.77 30 days 12.77  ABOUT 30.28%
    Based on normal probability distribution, the odds of BlackRock ISF to move above current price in 30 days from now is about 30.28% (This BlackRock ISF EM Fdmtl Wtd Idx probability density function shows the probability of BlackRock ISF Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, BlackRock ISF EM Fdmtl Wtd Idx has beta of -0.1683 . This indicates as returns on benchmark increase, returns on holding BlackRock ISF are expected to decrease at a much smaller rate. During bear market, however, BlackRock ISF EM Fdmtl Wtd Idx is likely to outperform the market. Additionally The company has a negative alpha implying that the risk taken by holding this equity is not justified. BlackRock ISF EM is significantly underperforming DOW.
     BlackRock ISF Price Density 
    Alpha over DOW
    Beta against DOW=0.17
    Overall volatility
    Information ratio =0.12

    BlackRock ISF Alerts

    BlackRock ISF Alerts and Suggestions

    BlackRock ISF EM is not yet fully synchronised with the market data
    The fund retains 98.69% of its assets under management (AUM) in equities

    Price Density Drivers

    BlackRock ISF Health Indicators

    Please also check Risk vs Return Analysis. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.