Trojan Income (Ireland) Probability of Target Price Finishing Over

    F00000SJ7U -- Ireland Fund  

    EUR 1.47  0.02  1.38%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     1.47 30 days 1.47  ABOUT 22.79%
    Based on normal probability distribution, the odds of Trojan Income to move above current price in 30 days from now is about 22.79% (This Trojan Income Feeder O EUR Acc probability density function shows the probability of Trojan Income Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Trojan Income has beta of 0.287 suggesting as returns on market go up, Trojan Income average returns are expected to increase less than the benchmark. However during bear market, the loss on holding Trojan Income Feeder O EUR Acc will be expected to be much smaller as well. Additionally Trojan Income Feeder O EUR Acc has an alpha of 0.2212 implying that it can potentially generate 0.2212% excess return over DOW after adjusting for the inherited market risk (beta).
     Trojan Income Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.22
    β
    Beta against DOW=0.29
    σ
    Overall volatility
    =0.75
    Ir
    Information ratio =0.1

    Trojan Income Alerts

    Trojan Income Alerts and Suggestions
    Trojan Income Feeder may become a speculative penny stock
    The fund retains about 5.84% 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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