Indiabulls Income (India) Probability of Target Price Finishing Over Current Price

    F00000PN2Q -- India Fund  

    INR 15.22  0.0037  0.0243%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     15.22 30 days 15.22  ABOUT 13.41%
    Based on normal probability distribution, the odds of Indiabulls Income to move above current price in 30 days from now is about 13.41% (This Indiabulls Income Fund Reg Gr probability density function shows the probability of Indiabulls Income Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Indiabulls Income Fund Reg Gr has beta of -0.0023 suggesting as returns on benchmark increase, returns on holding Indiabulls Income are expected to decrease at a much smaller rate. During bear market, however, Indiabulls Income Fund Reg Gr is likely to outperform the market. Additionally The company has an alpha of 0.0231 implying that it can potentially generate 0.0231% excess return over DOW after adjusting for the inherited market risk (beta).
     Indiabulls Income Price Density 
    Alpha over DOW
    Beta against DOW=0.0023
    Overall volatility
    Information ratio =0.79

    Indiabulls Income Alerts

    Indiabulls Income Alerts and Suggestions

    Indiabulls Income is not yet fully synchronised with the market data
    The fund retains about 34.15% of its assets under management (AUM) in cash

    Price Density Drivers

    Indiabulls Income Health Indicators

    Additionally see Investing Opportunities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.