SBI Dynamic (India) Probability of Target Price Finishing Over Current Price

    102206 -- India Fund  

    INR 12.64  0.01  0.08%

    SBI Dynamic probability of target price tool provides mechanism to make assumptions about upside and downside potential of SBI Dynamic Bond Reg Div performance during a given time horizon utilizing its historical volatility. Please specify SBI Dynamic time horizon, a valid symbol (red box) and a target price (blue box) you would like SBI Dynamic odds to be computed. Check also Trending Equities.
    Horizon     30 Days    Login   to change
    Symbol:
    Refresh Odds

    SBI Dynamic Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     12.64 30 days 12.64  ABOUT 20.29%
    Based on normal probability distribution, the odds of SBI Dynamic to move above current price in 30 days from now is about 20.29% (This SBI Dynamic Bond Reg Div probability density function shows the probability of SBI Dynamic Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, SBI Dynamic Bond Reg Div has beta of -0.0073 . This suggests as returns on benchmark increase, returns on holding SBI Dynamic are expected to decrease at a much smaller rate. During bear market, however, SBI Dynamic Bond Reg Div is likely to outperform the market. Additionally The company has a negative alpha implying that the risk taken by holding this equity is not justified. SBI Dynamic Bond is significantly underperforming DOW.
     SBI Dynamic Price Density 
          Price 
    α
    Alpha over DOW
    =0.14
    β
    Beta against DOW=0.0073
    σ
    Overall volatility
    =6.18
    Ir
    Information ratio =0.78

    SBI Dynamic Alerts

    SBI Dynamic Alerts and Suggestions

    SBI Dynamic Bond is not yet fully synchronised with the market data
    The fund holds about 97.09% of its total net assets in fixed income securities
    Check also Trending Equities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
    Search macroaxis.com