JM Balanced (India) Probability of Target Price Finishing Over Current Price

    F00000V5UM -- India Fund  

    INR 49.80  0.06  0.12%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     49.80 30 days 49.80  ABOUT 28.81%
    Based on normal probability distribution, the odds of JM Balanced to move above current price in 30 days from now is about 28.81% (This JM Balanced Dir HY Bns Princ probability density function shows the probability of JM Balanced Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, JM Balanced Dir HY Bns Princ has beta of -0.0308 suggesting as returns on benchmark increase, returns on holding JM Balanced are expected to decrease at a much smaller rate. During bear market, however, JM Balanced Dir HY Bns Princ is likely to outperform the market. Additionally JM Balanced Dir HY Bns Princ has an alpha of 0.1025 implying that it can potentially generate 0.1025% excess return over DOW after adjusting for the inherited market risk (beta).
     JM Balanced Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=0.03
    Overall volatility
    Information ratio =0.2

    JM Balanced Alerts

    JM Balanced Alerts and Suggestions

    JM Balanced Dir generates negative expected return over the last 30 days
    The fund retains about 30.25% of its assets under management (AUM) in cash
    Additionally see Investing Opportunities. Please also try My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.