JPMorgan Ind (India) Probability of Target Price Finishing Over Current Price

    F00000QFPC -- India Fund  

    INR 14.61  0.03  0.21%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     14.61 30 days 14.61  ABOUT 35.45%
    Based on normal probability distribution, the odds of JPMorgan Ind to move above current price in 30 days from now is about 35.45% (This JPMorgan Ind Bnkg PSU Debt Reg Div probability density function shows the probability of JPMorgan Ind Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, JPMorgan Ind Bnkg PSU Debt Reg Div has beta of -0.0067 suggesting as returns on benchmark increase, returns on holding JPMorgan Ind are expected to decrease at a much smaller rate. During bear market, however, JPMorgan Ind Bnkg PSU Debt Reg Div is likely to outperform the market. Additionally JPMorgan Ind Bnkg PSU Debt Reg Div has an alpha of 0.0621 implying that it can potentially generate 0.0621% excess return over DOW after adjusting for the inherited market risk (beta).
     JPMorgan Ind Price Density 
    Alpha over DOW
    Beta against DOW=0.0067
    Overall volatility
    Information ratio =0.84

    JPMorgan Ind Alerts

    JPMorgan Ind Alerts and Suggestions

    JPMorgan Ind Bnkg is not yet fully synchronised with the market data
    The fund retains about 43.06% of its assets under management (AUM) in cash
    Additionally see Investing Opportunities. Please also try Analyst Recommendations module to analyst recommendations and target price estimates broken down by several categories.