Peerless Income (India) Probability of Target Price Finishing Over Current Price

    F00000PD3D -- India Fund  

    INR 20.01  0.00  0.00%

    Peerless Income probability of target price tool provides mechanism to make assumptions about upside and downside potential of Peerless Income Pls Dir Gr performance during a given time horizon utilizing its historical volatility. Please specify Peerless Income time horizon, a valid symbol (red box) and a target price (blue box) you would like Peerless Income odds to be computed. Additionally see Investing Opportunities.
    Horizon     30 Days    Login   to change
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    Peerless Income Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     20.01 30 days 20.01  ABOUT 1.55%
    Based on normal probability distribution, the odds of Peerless Income to move above current price in 30 days from now is about 1.55% (This Peerless Income Pls Dir Gr probability density function shows the probability of Peerless Income Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Peerless Income has beta of 0.018 suggesting as returns on market go up, Peerless Income average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Peerless Income Pls Dir Gr will be expected to be much smaller as well. Additionally Peerless Income Pls Dir Gr has an alpha of 0.1574 implying that it can potentially generate 0.1574% excess return over DOW after adjusting for the inherited market risk (beta).
     Peerless Income Price Density 
          Price 
    α
    Alpha over DOW
    =0.16
    β
    Beta against DOW=0.018
    σ
    Overall volatility
    =0.18
    Ir
    Information ratio =0.30

    Peerless Income Alerts

    Peerless Income Alerts and Suggestions

    Peerless Income Pls is not yet fully synchronised with the market data
    The fund retains about 15.04% of its assets under management (AUM) in cash
    Additionally see Investing Opportunities. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.
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