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

    IE00B4ZF3F31 -- Ireland Fund  

    EUR 12.54  0.58  4.42%

    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
     12.54 30 days 12.54  ABOUT 30.79%
    Based on normal probability distribution, the odds of BlackRock ISF to move above current price in 30 days from now is about 30.79% (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 has beta of 0.0782 . This indicates as returns on market go up, BlackRock ISF average returns are expected to increase less than the benchmark. However during bear market, the loss on holding BlackRock ISF EM Fdmtl Wtd Idx will be expected to be much smaller as well. Additionally BlackRock ISF EM Fdmtl Wtd Idx has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     BlackRock ISF Price Density 
    Alpha over DOW
    Beta against DOW=0.08
    Overall volatility
    Information ratio =0.03

    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
    Please also check Risk vs Return Analysis. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.