LT Emerging (India) Probability of Target Price Finishing Over Current Price

    129221 -- India Fund  

    INR 19.44  0.60  2.99%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     19.44 30 days 19.44  ABOUT 38.14%
    Based on normal probability distribution, the odds of LT Emerging to move above current price in 30 days from now is about 38.14% (This LT Emerging Business Reg Div probability density function shows the probability of LT Emerging Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, LT Emerging Business Reg Div has beta of -0.5653 . This suggests as returns on benchmark increase, returns on holding LT Emerging are expected to decrease at a much smaller rate. During bear market, however, LT Emerging Business Reg Div is likely to outperform the market. Additionally LT Emerging Business Reg Div has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     LT Emerging Price Density 
          Price 
    α
    Alpha over DOW
    =0.5
    β
    Beta against DOW=0.57
    σ
    Overall volatility
    =10.66
    Ir
    Information ratio =0.16

    LT Emerging Alerts

    LT Emerging Alerts and Suggestions

    LT Emerging Business is not yet fully synchronised with the market data
    The fund holds about 14.85% of its total net assets in cash
    Check also Trending Equities. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.
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