Legg Mason (Ireland) Probability of Target Price Finishing Over Current Price

    IE00BZ1NPT63 -- Ireland Fund  

    GBp 15,643  182.00  1.15%

    Legg Mason probability of target price tool provides mechanism to make assumptions about upside and downside potential of Legg Mason CB US Eq SL X GBP Acc performance during a given time horizon utilizing its historical volatility. Please specify Legg Mason time horizon, a valid symbol (red box) and a target price (blue box) you would like Legg Mason odds to be computed. Please also check Risk vs Return Analysis.
    Horizon     30 Days    Login   to change
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    Legg Mason Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     15,643 30 days 15,643  ABOUT 6.91%
    Based on normal probability distribution, the odds of Legg Mason to move above current price in 30 days from now is about 6.91% (This Legg Mason CB US Eq SL X GBP Acc probability density function shows the probability of Legg Mason Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, the fund has beta coefficient of 95.0 . This indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are expected to be negative, Legg Mason will likely underperform. In addition to that Legg Mason CB US Eq SL X GBP Acc has an alpha of 685.63 implying that it can potentially generate 685.63% excess return over DOW after adjusting for the inherited market risk (beta).
     Legg Mason Price Density 
          Price 
    α
    Alpha over DOW
    =685.63
    β
    Beta against DOW=95.00
    σ
    Overall volatility
    =6,870
    Ir
    Information ratio =0.26

    Legg Mason Alerts

    Legg Mason Alerts and Suggestions

    Legg Mason CB is not yet fully synchronised with the market data
    The fund retains about 31.73% of its assets under management (AUM) in cash

    Price Density Drivers

    Legg Mason Health Indicators

    Please also check Risk vs Return Analysis. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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