FC High (Ireland) Probability of Target Price Finishing Over Current Price

    FC High probability of target price tool provides mechanism to make assumptions about upside and downside potential of FC High Income Bond A New EUR Acc performance during a given time horizon utilizing its historical volatility. Please specify FC High time horizon, a valid symbol (red box) and a target price (blue box) you would like FC High odds to be computed. Additionally see Investing Opportunities.
    Horizon     30 Days    Login   to change
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    FC High Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     0.00 30 days 0.00  ABOUT 87.01%
    Based on normal probability distribution, the odds of FC High to move above current price in 30 days from now is about 87.01% (This FC High Income Bond A New EUR Acc probability density function shows the probability of FC High Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, FC High has beta of 0.0037 suggesting as returns on market go up, FC High average returns are expected to increase less than the benchmark. However during bear market, the loss on holding FC High Income Bond A New EUR Acc will be expected to be much smaller as well. Additionally FC High Income Bond A New EUR Acc has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     FC High Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.06
    β
    Beta against DOW=0.0037
    σ
    Overall volatility
    =6.13
    Ir
    Information ratio =0.59

    FC High Alerts

    FC High Alerts and Suggestions

    FC High Income is not yet fully synchronised with the market data
    FC High Income has some characteristics of a very speculative penny stock
    The fund retains about 37.12% 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.
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