Kotak OM (India) Probability of Target Price Finishing Over Current Price

    F00000H4Q4 -- India Fund  

    INR 18.28  0.01  0.05%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     18.28 30 days 18.28  ABOUT 30.41%
    Based on normal probability distribution, the odds of Kotak OM to move above current price in 30 days from now is about 30.41% (This Kotak OM Life Peak Guarantee I probability density function shows the probability of Kotak OM Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Kotak OM Life Peak Guarantee I has beta of -0.0365 suggesting as returns on benchmark increase, returns on holding Kotak OM are expected to decrease at a much smaller rate. During bear market, however, Kotak OM Life Peak Guarantee I is likely to outperform the market. Additionally Kotak OM Life Peak Guarantee I has an alpha of 0.0598 implying that it can potentially generate 0.0598% excess return over DOW after adjusting for the inherited market risk (beta).
     Kotak OM Price Density 
          Price 
    α
    Alpha over DOW
    =0.06
    β
    Beta against DOW=0.04
    σ
    Overall volatility
    =7.62
    Ir
    Information ratio =0.24

    Kotak OM Alerts

    Kotak OM Alerts and Suggestions

    Kotak OM Life is not yet fully synchronised with the market data
    The fund retains about 23.39% of its assets under management (AUM) in cash
    Additionally see Investing Opportunities. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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