Kotak Mahindra (India) Probability of Target Price Finishing Over Current Price

    KTKKIGFGD -- India Stock  

     10.00  0.00  0.00%

    Kotak Mahindra probability of target price tool provides mechanism to make assumptions about upside and downside potential of Kotak Mahindra Mutual Fund performance during a given time horizon utilizing its historical volatility. Please specify Kotak Mahindra time horizon, a valid symbol (red box) and a target price (blue box) you would like Kotak Mahindra odds to be computed. Please see also Stocks Correlation.
    Horizon     30 Days    Login   to change
    Refresh Odds

    Kotak Mahindra Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     10.00 30 days 10.00  ABOUT 18.07%
    Based on normal probability distribution, the odds of Kotak Mahindra to move above current price in 30 days from now is about 18.07% (This Kotak Mahindra Mutual Fund probability density function shows the probability of Kotak Mahindra Stock to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Kotak Mahindra has beta of 0.0 indicating unless we do not have required data, the returns on DOW and Kotak Mahindra are completely uncorrelated. Additionally Kotak Mahindra Mutual FundIt does not look like Kotak Mahindra alpha can have any bearing on the equity current valuation.
     Kotak Mahindra Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=0.00
    Overall volatility
    Information ratio =0.00

    Current Sentiment - KTKKIGFGD

    Kotak Mahindra Mutual Investor Sentiment

    Macroaxis portfolio users are evenly split in their trading attitude regarding investing in Kotak Mahindra Mutual Fund. What is your trading attitude regarding investing in Kotak Mahindra Mutual Fund? Are you bullish or bearish?
    50% Bullish
    50% Bearish
    Please see also Stocks Correlation. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.
    Search macroaxis.com