Sundaram MIP (India) Probability of Target Price Finishing Over Current Price

    F00000GV8L -- India Fund  

    INR 12.00  12.00  9,223,372,036,855%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     12.00 30 days 12.00  ABOUT 25.19%
    Based on normal probability distribution, the odds of Sundaram MIP to move above current price in 30 days from now is about 25.19% (This Sundaram MIP Conservative Qt div probability density function shows the probability of Sundaram MIP Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Sundaram MIP Conservative Qt div has beta of -0.0374 suggesting as returns on benchmark increase, returns on holding Sundaram MIP are expected to decrease at a much smaller rate. During bear market, however, Sundaram MIP Conservative Qt div is likely to outperform the market. Additionally Sundaram MIP Conservative Qt div has an alpha of 0.0015 implying that it can potentially generate 0.0015% excess return over DOW after adjusting for the inherited market risk (beta).
     Sundaram MIP Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.001451
    β
    Beta against DOW=0.04
    σ
    Overall volatility
    =5.72
    Ir
    Information ratio =4.16

    Current Sentiment - F00000GV8L

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    Additionally see Investing Opportunities. Please also try Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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