Birla Sun (India) Probability of Target Price Finishing Over Current Price

    F000001A2T -- India Fund  

    INR 18.79  0.48  2.49%

    Birla Sun probability of target price tool provides mechanism to make assumptions about upside and downside potential of Birla Sun Life Glb Real Est Gr performance during a given time horizon utilizing its historical volatility. Please specify Birla Sun time horizon, a valid symbol (red box) and a target price (blue box) you would like Birla Sun odds to be computed. Additionally see Investing Opportunities.
    Horizon     30 Days    Login   to change
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    Birla Sun Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     18.79 30 days 18.79  ABOUT 24.15%
    Based on normal probability distribution, the odds of Birla Sun to move above current price in 30 days from now is about 24.15% (This Birla Sun Life Glb Real Est Gr probability density function shows the probability of Birla Sun Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Birla Sun has beta of 0.5463 suggesting as returns on market go up, Birla Sun average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Birla Sun Life Glb Real Est Gr will be expected to be much smaller as well. Additionally Birla Sun Life Glb Real Est Gr has an alpha of 0.3655 implying that it can potentially generate 0.3655% excess return over DOW after adjusting for the inherited market risk (beta).
     Birla Sun Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.37
    β
    Beta against DOW=0.55
    σ
    Overall volatility
    =0.62
    Ir
    Information ratio =0.19

    Birla Sun Alerts

    Birla Sun Alerts and Suggestions

    The fund retains 95.62% of its assets under management (AUM) in equities
    Additionally see Investing Opportunities. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.
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