Algebris Financial (Ireland) Probability of Target Price Finishing Over Current Price

    F00000QTIP -- Ireland Fund  

    EUR 128.34  0.28  0.22%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     128.34 30 days 128.34  ABOUT 13.38%
    Based on normal probability distribution, the odds of Algebris Financial to move above current price in 30 days from now is about 13.38% (This Algebris Financial Credit R EUR Acc probability density function shows the probability of Algebris Financial Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, Algebris Financial Credit R EUR Acc has beta of -0.0457 suggesting as returns on benchmark increase, returns on holding Algebris Financial are expected to decrease at a much smaller rate. During bear market, however, Algebris Financial Credit R EUR Acc is likely to outperform the market. Additionally The company has an alpha of 0.028 implying that it can potentially generate 0.028% excess return over DOW after adjusting for the inherited market risk (beta).
     Algebris Financial Price Density 
    Alpha over DOW
    Beta against DOW=0.05
    Overall volatility
    Information ratio =0.07

    Algebris Financial Alerts

    Algebris Financial Alerts and Suggestions

    Algebris Financial is not yet fully synchronised with the market data
    Algebris Financial generates negative expected return over the last 30 days
    Additionally see Investing Opportunities. Please also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.