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

    IE00BWDBJ516 -- Ireland Fund  

    SGD 0.87  0.02  2.25%

    Legg Mason probability of target price tool provides mechanism to make assumptions about upside and downside potential of Legg Mason QS MV EurpEq GrInc AMIncSGDH 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
     0.87 30 days 0.87  ABOUT 20.22%
    Based on normal probability distribution, the odds of Legg Mason to move above current price in 30 days from now is about 20.22% (This Legg Mason QS MV EurpEq GrInc AMIncSGDH 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, Legg Mason has beta of 0.0 . This indicates unless we do not have required data, the returns on DOW and Legg Mason are completely uncorrelated. Additionally Legg Mason QS MV EurpEq GrInc AMIncSGDHIt does not look like Legg Mason alpha can have any bearing on the equity current valuation.
     Legg Mason Price Density 
          Price 
    α
    Alpha over DOW
    =0.00
    β
    Beta against DOW=0.00
    σ
    Overall volatility
    =0.49
    Ir
    Information ratio =0.00

    Legg Mason Alerts

    Legg Mason Alerts and Suggestions

    Legg Mason QS is not yet fully synchronised with the market data
    Legg Mason QS has some characteristics of a very speculative penny stock
    The fund retains about 41.07% 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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