IDFC UST (India) Probability of Target Price Finishing Over Current Price

    IDFCUSTQTDIV -- India Fund  

    INR 10.84  0.00  0.00%

    IDFC UST probability of target price tool provides mechanism to make assumptions about upside and downside potential of IDFC UST Reg Qtr Div performance during a given time horizon utilizing its historical volatility. Please specify IDFC UST time horizon, a valid symbol (red box) and a target price (blue box) you would like IDFC UST odds to be computed. Please also check Risk vs Return Analysis.
    Horizon     30 Days    Login   to change
    Refresh Odds

    IDFC UST Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     10.84 30 days 10.84  NEARLY 4.14%
    Based on normal probability distribution, the odds of IDFC UST to move above current price in 30 days from now is nearly 4.14% (This IDFC UST Reg Qtr Div probability density function shows the probability of IDFC UST Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, IDFC UST has beta of 0.0067 . This indicates as returns on market go up, IDFC UST average returns are expected to increase less than the benchmark. However during bear market, the loss on holding IDFC UST Reg Qtr Div will be expected to be much smaller as well. Additionally The company has an alpha of 0.0288 implying that it can potentially generate 0.0288% excess return over DOW after adjusting for the inherited market risk (beta).
     IDFC UST Price Density 
    Alpha over DOW
    Beta against DOW=0.0067
    Overall volatility
    Information ratio =0.54

    IDFC UST Alerts

    IDFC UST Alerts and Suggestions

    IDFC UST Reg is not yet fully synchronised with the market data
    The fund retains about 57.74% of its assets under management (AUM) in cash

    Price Density Drivers

    IDFC UST Health Indicators

    Please also check Risk vs Return Analysis. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.