LIC MF (India) Probability of Target Price Finishing Over Current Price

    134878 -- India Fund  

    INR 18.20  0.00  0.00%

    LIC MF probability of target price tool provides mechanism to make assumptions about upside and downside potential of LIC MF ULIS 10Y RP RC Dir HY Div performance during a given time horizon utilizing its historical volatility. Please specify LIC MF time horizon, a valid symbol (red box) and a target price (blue box) you would like LIC MF odds to be computed. Check also Trending Equities.
    Horizon     30 Days    Login   to change
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    LIC MF Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     18.20 30 days 18.20  ABOUT 87.14%
    Based on normal probability distribution, the odds of LIC MF to move above current price in 30 days from now is about 87.14% (This LIC MF ULIS 10Y RP RC Dir HY Div probability density function shows the probability of LIC MF Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, LIC MF ULIS 10Y RP RC Dir HY Div has beta of -0.1287 . This suggests as returns on benchmark increase, returns on holding LIC MF are expected to decrease at a much smaller rate. During bear market, however, LIC MF ULIS 10Y RP RC Dir HY Div is likely to outperform the market. Additionally LIC MF ULIS 10Y RP RC Dir HY Div has an alpha of 0.7737 implying that it can potentially generate 0.7737% excess return over DOW after adjusting for the inherited market risk (beta).
     LIC MF Price Density 
          Price 
    α
    Alpha over DOW
    =0.77
    β
    Beta against DOW=0.13
    σ
    Overall volatility
    =0.49
    Ir
    Information ratio =0.34

    LIC MF Alerts

    LIC MF Alerts and Suggestions

    LIC MF ULIS is not yet fully synchronised with the market data
    The fund holds about 12.4% of its total net assets in cash
    Check also Trending Equities. Please also try Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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