Payden Absolute (Ireland) Probability of Target Price Finishing Over Current Price

    F00000QGOD -- Ireland Fund  

    USD 11.29  0.01  0.09%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     11.29 30 days 11.29  ABOUT 24.5%
    Based on normal probability distribution, the odds of Payden Absolute to move above current price in 30 days from now is about 24.5% (This Payden Absolute Return Bond USD Acc probability density function shows the probability of Payden Absolute Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Payden Absolute has beta of 0.0079 suggesting as returns on market go up, Payden Absolute average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Payden Absolute Return Bond USD Acc will be expected to be much smaller as well. Additionally Payden Absolute Return Bond USD Acc has an alpha of 6.0E-4 implying that it can potentially generate 6.0E-4% excess return over DOW after adjusting for the inherited market risk (beta).
     Payden Absolute Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=0.0079
    Overall volatility
    Information ratio =1.86

    Payden Absolute Alerts

    Payden Absolute Alerts and Suggestions

    Payden Absolute generates negative expected return over the last 30 days
    Additionally see Investing Opportunities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.