Sanlam BIFM (Ireland) Probability of Target Price Finishing Over

    IE00BFPMK726 -- Ireland Fund  

    USD 1.24  0.02  1.59%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     1.24 30 days 1.24  ABOUT 38.64%
    Based on normal probability distribution, the odds of Sanlam BIFM to move above current price in 30 days from now is about 38.64% (This Sanlam BIFM World Equity A USD Acc probability density function shows the probability of Sanlam BIFM Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Sanlam BIFM has beta of 0.2946 . This indicates as returns on market go up, Sanlam BIFM average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Sanlam BIFM World Equity A USD Acc will be expected to be much smaller as well. Moreover Sanlam BIFM World Equity A USD Acc has an alpha of 1.2072 implying that it can potentially generate 1.2072% excess return over DOW after adjusting for the inherited market risk (beta).
     Sanlam BIFM Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =1.21
    β
    Beta against DOW=0.29
    σ
    Overall volatility
    =0.034641
    Ir
    Information ratio =0.45

    Sanlam BIFM Alerts

    Sanlam BIFM Alerts and Suggestions
    Sanlam BIFM World may become a speculative penny stock
    The fund retains 98.46% of its assets under management (AUM) in equities
    Please also check Risk vs Return Analysis. Please also try Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.