Polar Capital (Ireland) Probability of Target Price Finishing Over Current Price

    IE00B8BJYW18 -- Ireland Fund  

    GBp 197.00  0.00  0.00%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     197.00 30 days 197.00  ABOUT 19.65%
    Based on normal probability distribution, the odds of Polar Capital to move above current price in 30 days from now is about 19.65% (This Polar Capital Japan Alpha C GBP probability density function shows the probability of Polar Capital Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, the fund has beta coefficient of 2.9755 . This indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are expected to be negative, Polar Capital will likely underperform. Additionally Polar Capital Japan Alpha C GBP has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     Polar Capital Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.1
    β
    Beta against DOW=2.98
    σ
    Overall volatility
    =97.91
    Ir
    Information ratio =0.022566

    Polar Capital Alerts

    Polar Capital Alerts and Suggestions

    The fund retains all of its assets under management (AUM) in equities
    Please also check Risk vs Return Analysis. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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