PIMCO GlS (Ireland) Probability of Target Price Finishing Over Current Price

    F00000VST2 -- Ireland Fund  

    USD 9.58  0.00  0.00%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     9.58 30 days 9.58  ABOUT 27.41%
    Based on normal probability distribution, the odds of PIMCO GlS to move above current price in 30 days from now is about 27.41% (This PIMCO GlS TRENDS Mgd Futrs Str E Acc probability density function shows the probability of PIMCO GlS Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, PIMCO GlS has beta of 0.0505 suggesting as returns on market go up, PIMCO GlS average returns are expected to increase less than the benchmark. However during bear market, the loss on holding PIMCO GlS TRENDS Mgd Futrs Str E Acc will be expected to be much smaller as well. Additionally PIMCO GlS TRENDS Mgd Futrs Str E Acc has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     PIMCO GlS Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.08
    β
    Beta against DOW=0.05
    σ
    Overall volatility
    =4.90
    Ir
    Information ratio =0.19

    PIMCO GlS Alerts

    PIMCO GlS Alerts and Suggestions

    PIMCO GlS TRENDS is not yet fully synchronised with the market data
    The fund retains about 25.51% of its assets under management (AUM) in cash
    Additionally see Investing Opportunities. Please also try Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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