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

    F00000PDMJ -- India Fund  

    INR 20.64  0.27  1.33%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     20.64 30 days 20.64  ABOUT 34.89%
    Based on normal probability distribution, the odds of Axis Income to move above current price in 30 days from now is about 34.89% (This Axis Income Saver Dir Gr probability density function shows the probability of Axis Income Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Axis Income Saver Dir Gr has beta of -0.2824 suggesting as returns on benchmark increase, returns on holding Axis Income are expected to decrease at a much smaller rate. During bear market, however, Axis Income Saver Dir Gr is likely to outperform the market. Additionally Axis Income Saver Dir Gr has an alpha of 0.2276 implying that it can potentially generate 0.2276% excess return over DOW after adjusting for the inherited market risk (beta).
     Axis Income Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=0.28
    Overall volatility
    Information ratio =0.18

    Axis Income Alerts

    Axis Income Alerts and Suggestions

    The fund retains about 40.74% of its assets under management (AUM) in cash

    Price Density Drivers

    Axis Income Health Indicators

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