Max Life (India) Probability of Target Price Finishing Over Current Price

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     0.00 30 days 0.00  ABOUT 91.41%
    Based on normal probability distribution, the odds of Max Life to move above current price in 30 days from now is about 91.41% (This Max Life Grp SuperAnnu Conservative probability density function shows the probability of Max Life Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Max Life has beta of 0.0151 suggesting as returns on market go up, Max Life average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Max Life Grp SuperAnnu Conservative will be expected to be much smaller as well. Additionally The company has an alpha of 0.1126 implying that it can potentially generate 0.1126% excess return over DOW after adjusting for the inherited market risk (beta).
     Max Life Price Density 
    Alpha over DOW
    Beta against DOW=0.0151
    Overall volatility
    Information ratio =0.30

    Max Life Alerts

    Max Life Alerts and Suggestions

    Max Life Grp is not yet fully synchronised with the market data
    Max Life Grp has some characteristics of a very speculative penny stock
    The fund retains about 97.9% of its assets under management (AUM) in fixed income securities
    Additionally see Investing Opportunities. Please also try Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..