LYX ST (Germany) Probability of Target Price Finishing Over Current Price

    LYYL -- Germany ETF  

    EUR 26.05  0.005  0.0192%

    LYX ST probability of target price tool provides mechanism to make assumptions about upside and downside potential of LYX ST EU 600 T L UETF A performance during a given time horizon utilizing its historical volatility. Please specify LYX ST time horizon, a valid symbol (red box) and a target price (blue box) you would like LYX ST odds to be computed. Please see also Stocks Correlation.
    Horizon     30 Days    Login   to change
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    LYX ST Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     26.05 30 days 26.05  CLOSE TO 99%
    Based on normal probability distribution, the odds of LYX ST to move above current price in 30 days from now is close to 99% (This LYX ST EU 600 T L UETF A probability density function shows the probability of LYX ST ETF to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, LYX ST EU 600 T L UETF A has beta of -0.4164 indicating as returns on benchmark increase, returns on holding LYX ST are expected to decrease at a much smaller rate. During bear market, however, LYX ST EU 600 T L UETF A is likely to outperform the market. Additionally LYX ST EU 600 T L UETF A has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     LYX ST Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.42
    β
    Beta against DOW=0.42
    σ
    Overall volatility
    =1.01
    Ir
    Information ratio =0.06

    LYX ST Alerts

    LYX ST Alerts and Suggestions

    LYX ST EU is not yet fully synchronised with the market data
    LYX ST EU generates negative expected return over the last 30 days
    LYX ST EU has high historical volatility and very poor performance
    Please see also Stocks Correlation. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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