PGIF Finisterre (Ireland) Probability of Target Price Finishing Over Current Price

    IE00BBPRCF15 -- Ireland Fund  

     7.42  0.00  0.00%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     7.42 30 days 7.42  ABOUT 11.36%
    Based on normal probability distribution, the odds of PGIF Finisterre to move above current price in 30 days from now is about 11.36% (This PGIF Finisterre EM Debt I EUR Hdg Acc probability density function shows the probability of PGIF Finisterre Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, PGIF Finisterre has beta of 0.0 . This indicates unless we do not have required data, the returns on DOW and PGIF Finisterre are completely uncorrelated. Additionally PGIF Finisterre EM Debt I EUR Hdg AccIt does not look like PGIF Finisterre alpha can have any bearing on the equity current valuation.
     PGIF Finisterre Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.00
    β
    Beta against DOW=0.00
    σ
    Overall volatility
    =3.84
    Ir
    Information ratio =0.00

    PGIF Finisterre Alerts

    PGIF Finisterre Alerts and Suggestions

    PGIF Finisterre EM is not yet fully synchronised with the market data
    PGIF Finisterre EM generates negative expected return over the last 30 days
    Please also check Risk vs Return Analysis. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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