Franklin India (India) Probability of Target Price Finishing Over Current Price

    F0GBR06RHH -- India Fund  

    INR 1,219  2.77  0.23%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     1,219 30 days 1,219  ABOUT 37.69%
    Based on normal probability distribution, the odds of Franklin India to move above current price in 30 days from now is about 37.69% (This Franklin India ST Income Mn Div probability density function shows the probability of Franklin India Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Franklin India ST Income Mn Div has beta of -0.0055 suggesting as returns on benchmark increase, returns on holding Franklin India are expected to decrease at a much smaller rate. During bear market, however, Franklin India ST Income Mn Div is likely to outperform the market. Additionally The company has an alpha of 5.0E-4 implying that it can potentially generate 5.0E-4% excess return over DOW after adjusting for the inherited market risk (beta).
     Franklin India Price Density 
    Alpha over DOW
    Beta against DOW=0.0055
    Overall volatility
    Information ratio =1.04

    Franklin India Alerts

    Franklin India Alerts and Suggestions

    Franklin India ST is not yet fully synchronised with the market data
    The fund retains about 13.01% of its assets under management (AUM) in cash

    Price Density Drivers

    Franklin India Health Indicators

    Additionally see Investing Opportunities. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.