IE00B6WG9T96 (Ireland) Probability of Target Price Finishing Over Current Price

    IE00B6WG9T96 -- Ireland Fund  

    GBp 1,008  4.00  0.40%

    IE00B6WG9T96 probability of target price tool provides mechanism to make assumptions about upside and downside potential of IE00B6WG9T96 IR performance during a given time horizon utilizing its historical volatility. Please specify IE00B6WG9T96 time horizon, a valid symbol (red box) and a target price (blue box) you would like IE00B6WG9T96 odds to be computed. Please also check Risk vs Return Analysis.
    Horizon     30 Days    Login   to change
    Refresh Odds

    IE00B6WG9T96 Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     1,008 30 days 1,008  ABOUT 29.12%
    Based on normal probability distribution, the odds of IE00B6WG9T96 to move above current price in 30 days from now is about 29.12% (This IE00B6WG9T96 IR probability density function shows the probability of IE00B6WG9T96 Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, IE00B6WG9T96 has beta of 0.0519 . This indicates as returns on market go up, IE00B6WG9T96 average returns are expected to increase less than the benchmark. However during bear market, the loss on holding IE00B6WG9T96 IR 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. IE00B6WG9T96 IR is significantly underperforming DOW.
     IE00B6WG9T96 Price Density 
    Alpha over DOW
    Beta against DOW=0.05
    Overall volatility
    Information ratio =0.08

    IE00B6WG9T96 Alerts

    IE00B6WG9T96 Alerts and Suggestions

    IE00B6WG9T96 IR is not yet fully synchronised with the market data
    The fund retains about 33.19% of its assets under management (AUM) in cash

    Price Density Drivers

    IE00B6WG9T96 Health Indicators

    Please also check Risk vs Return Analysis. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.