Shriram Life (India) Probability of Target Price Finishing Over Current Price

    F00000H4Z9 -- India Fund  

    INR 24.52  0.02  0.08%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     24.52 30 days 24.52  ABOUT 31.24%
    Based on normal probability distribution, the odds of Shriram Life to move above current price in 30 days from now is about 31.24% (This Shriram Life Conservator probability density function shows the probability of Shriram Life Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Shriram Life Conservator has beta of -0.0393 suggesting as returns on benchmark increase, returns on holding Shriram Life are expected to decrease at a much smaller rate. During bear market, however, Shriram Life Conservator is likely to outperform the market. Additionally Shriram Life Conservator has an alpha of 0.0567 implying that it can potentially generate 0.0567% excess return over DOW after adjusting for the inherited market risk (beta).
     Shriram Life Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.06
    β
    Beta against DOW=0.04
    σ
    Overall volatility
    =9.57
    Ir
    Information ratio =0.81

    Shriram Life Alerts

    Shriram Life Alerts and Suggestions

    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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