TENAX CRDIT (Ireland) Probability of Target Price Finishing Over Current Price

    18503402 -- Ireland Fund  

    EUR 103.43  2.65  2.63%

    TENAX CRDIT probability of target price tool provides mechanism to make assumptions about upside and downside potential of TENAX CRDIT EUR B performance during a given time horizon utilizing its historical volatility. Please specify TENAX CRDIT time horizon, a valid symbol (red box) and a target price (blue box) you would like TENAX CRDIT odds to be computed. Check also Trending Equities.
    Horizon     30 Days    Login   to change
    Symbol:
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    TENAX CRDIT Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     103.43 30 days 103.43  ABOUT 5.12%
    Based on normal probability distribution, the odds of TENAX CRDIT to move above current price in 30 days from now is about 5.12% (This TENAX CRDIT EUR B probability density function shows the probability of TENAX CRDIT Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, TENAX CRDIT EUR B has beta of -0.0685 . This suggests as returns on benchmark increase, returns on holding TENAX CRDIT are expected to decrease at a much smaller rate. During bear market, however, TENAX CRDIT EUR B is likely to outperform the market. Additionally TENAX CRDIT EUR B has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     TENAX CRDIT Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.01
    β
    Beta against DOW=0.07
    σ
    Overall volatility
    =46.35
    Ir
    Information ratio =0.07

    TENAX CRDIT Alerts

    TENAX CRDIT Alerts and Suggestions

    TENAX CRDIT EUR is not yet fully synchronised with the market data
    TENAX CRDIT EUR generates negative expected return over the last 30 days
    Check also Trending Equities. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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