Janus US (Ireland) Probability of Target Price Finishing Over Current Price

    F00000QM83 -- Ireland Fund  

     16.19  0.46  2.76%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     16.19 30 days 16.19  ABOUT 16.44%
    Based on normal probability distribution, the odds of Janus US to move above current price in 30 days from now is about 16.44% (This Janus US Twenty U EUR Acc Hedged probability density function shows the probability of Janus US Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, the fund has beta coefficient of 1.0116 suggesting Janus US Twenty U EUR Acc Hedged market returns are very sensitive to returns on the market. As the market benchmark goes up or down, Janus US is expected to follow. Additionally Janus US Twenty U EUR Acc Hedged has an alpha of 0.6931 implying that it can potentially generate 0.6931% excess return over DOW after adjusting for the inherited market risk (beta).
     Janus US Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=1.01
    Overall volatility
    Information ratio =0.16

    Janus US Alerts

    Janus US Alerts and Suggestions

    Janus US Twenty is not yet fully synchronised with the market data
    Janus US Twenty generates negative expected return over the last 30 days
    Janus US Twenty has high historical volatility and very poor performance
    Additionally see Investing Opportunities. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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