BRIDGEWA B4444002 (Ireland) Probability of Target Price Finishing Over Current Price

    13101714 -- Ireland Fund  

    EUR 1,368  91.64  7.18%

    BRIDGEWA B4444002 probability of target price tool provides mechanism to make assumptions about upside and downside potential of BRIDGEWA B4444002 performance during a given time horizon utilizing its historical volatility. Please specify BRIDGEWA B4444002 time horizon, a valid symbol (red box) and a target price (blue box) you would like BRIDGEWA B4444002 odds to be computed. Check also Trending Equities.
    Horizon     30 Days    Login   to change
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    BRIDGEWA B4444002 Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     1,368 30 days 1,368  ABOUT 18.98%
    Based on normal probability distribution, the odds of BRIDGEWA B4444002 to move above current price in 30 days from now is about 18.98% (This BRIDGEWA B4444002 probability density function shows the probability of BRIDGEWA B4444002 Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, BRIDGEWA B4444002 has beta of -1.8848 . This suggests as returns on its benchmark rise, returns on holding BRIDGEWA B4444002 are expected to decrease by similarly larger amounts. On the other hand, during market turmoils, BRIDGEWA B4444002 is expected to outperform its benchmark. Additionally BRIDGEWA B4444002 has an alpha of 0.4162 implying that it can potentially generate 0.4162% excess return over DOW after adjusting for the inherited market risk (beta).
     BRIDGEWA B4444002 Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.42
    β
    Beta against DOW=1.88
    σ
    Overall volatility
    =671.93
    Ir
    Information ratio =0.01

    BRIDGEWA B4444002 Alerts

    BRIDGEWA B4444002 Alerts and Suggestions

    BRIDGEWA B4444002 generates negative expected return over the last 30 days
    Check also Trending Equities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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