Invesco Sterling (Ireland) Probability of Target Price Finishing Over Current Price

    F00000P968 -- Ireland Fund  

    GBp 1,047  2.00  0.19%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     1,047 30 days 1,047  ABOUT 23.62%
    Based on normal probability distribution, the odds of Invesco Sterling to move above current price in 30 days from now is about 23.62% (This Invesco Sterling Bond C probability density function shows the probability of Invesco Sterling Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Invesco Sterling has beta of 0.12 suggesting as returns on market go up, Invesco Sterling average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Invesco Sterling Bond C will be expected to be much smaller as well. Additionally Invesco Sterling Bond C has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     Invesco Sterling Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=0.12
    Overall volatility
    Information ratio =0.017619

    Invesco Sterling Alerts

    Invesco Sterling Alerts and Suggestions

    Invesco Sterling is not yet fully synchronised with the market data
    The fund retains about 30.7% 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.