Lord Abbett (Ireland) Probability of Target Price Finishing Over Current Price

    F00000WZ21 -- Ireland Fund  

    USD 16.47  0.06  0.37%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     16.47 30 days 16.47  ABOUT 23.8%
    Based on normal probability distribution, the odds of Lord Abbett to move above current price in 30 days from now is about 23.8% (This Lord Abbett U S Gr Ldrs N USD Hdg Acc probability density function shows the probability of Lord Abbett Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, the fund has beta coefficient of 1.1777 suggesting as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are expected to be negative, Lord Abbett will likely underperform. Moreover Lord Abbett U S Gr Ldrs N USD Hdg Acc has an alpha of 1.1759 implying that it can potentially generate 1.1759% excess return over DOW after adjusting for the inherited market risk (beta).
     Lord Abbett Price Density 
          Price 
    α
    Alpha over DOW
    =1.18
    β
    Beta against DOW=1.18
    σ
    Overall volatility
    =6.02
    Ir
    Information ratio =0.23

    Lord Abbett Alerts

    Lord Abbett Alerts and Suggestions

    Lord Abbett U is not yet fully synchronised with the market data
    The fund retains all of the assets under management (AUM) in different types of exotic instruments
    Additionally see Investing Opportunities. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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