Reliance Liquidity (India) Probability of Target Price Finishing Over Current Price

    103050 -- India Fund  

    INR 1,001  0.00  0.00%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     1,001 30 days 1,001  NEAR 1%
    Based on normal probability distribution, the odds of Reliance Liquidity to move above current price in 30 days from now is near 1% (This Reliance Liquidity Dl Div probability density function shows the probability of Reliance Liquidity Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Reliance Liquidity has beta of 1.0E-4 . This suggests as returns on market go up, Reliance Liquidity average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Reliance Liquidity Dl Div will be expected to be much smaller as well. Additionally Reliance Liquidity Dl Div has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     Reliance Liquidity Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.01
    β
    Beta against DOW=0.0001
    σ
    Overall volatility
    =351.47
    Ir
    Information ratio =827.06

    Reliance Liquidity Alerts

    Reliance Liquidity Alerts and Suggestions

    The fund holds about 100.0% of its total net assets in cash
    Check also Trending Equities. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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