RELIANCE HOME (India) Probability of Target Price Finishing Over Current Price

    RHFL -- India Stock  

    INR 53.25  7.80  17.16%

    RELIANCE HOME probability of target price tool provides mechanism to make assumptions about upside and downside potential of RELIANCE HOME FIN performance during a given time horizon utilizing its historical volatility. Please specify RELIANCE HOME time horizon, a valid symbol (red box) and a target price (blue box) you would like RELIANCE HOME odds to be computed. Additionally take a look at Your Equity Center.
    Horizon     30 Days    Login   to change
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    RELIANCE HOME Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     53.25 30 days 53.25  ABOUT 92.05%
    Based on normal probability distribution, the odds of RELIANCE HOME to move above current price in 30 days from now is about 92.05% (This RELIANCE HOME FIN probability density function shows the probability of RELIANCE HOME Stock to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, RELIANCE HOME FIN has beta of -0.1805 . This implies as returns on benchmark increase, returns on holding RELIANCE HOME are expected to decrease at a much smaller rate. During bear market, however, RELIANCE HOME FIN is likely to outperform the market. Additionally RELIANCE HOME FIN has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     RELIANCE HOME Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=0.18
    Overall volatility
    Information ratio =0.18


    RELIANCE HOME Alerts and Suggestions

    RELIANCE HOME FIN generates negative expected return over the last 30 days
    RELIANCE HOME FIN has high historical volatility and very poor performance
    Additionally take a look at Your Equity Center. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.