ICICI Pru (India) Probability of Target Price Finishing Over Current Price

    F00000PCRF -- India Fund  

    INR 12.79  0.04  0.31%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     12.79 30 days 12.79  ABOUT 28.71%
    Based on normal probability distribution, the odds of ICICI Pru to move above current price in 30 days from now is about 28.71% (This ICICI Pru MIP Dir Mn Div probability density function shows the probability of ICICI Pru Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, ICICI Pru has beta of 0.0045 suggesting as returns on market go up, ICICI Pru average returns are expected to increase less than the benchmark. However during bear market, the loss on holding ICICI Pru MIP Dir Mn Div will be expected to be much smaller as well. Additionally ICICI Pru MIP Dir Mn Div has an alpha of 0.0102 implying that it can potentially generate 0.0102% excess return over DOW after adjusting for the inherited market risk (beta).
     ICICI Pru Price Density 
          Price 
    α
    Alpha over DOW
    =0.010211
    β
    Beta against DOW=0.0045
    σ
    Overall volatility
    =5.71
    Ir
    Information ratio =0.37

    ICICI Pru Alerts

    ICICI Pru Alerts and Suggestions

    ICICI Pru MIP is not yet fully synchronised with the market data
    The fund retains about 14.71% of its assets under management (AUM) in cash
    Additionally see Investing Opportunities. Please also try Money Flow Index module to determine momentum by analyzing money flow index and other technical indicators.
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