PUTNAM WT (Germany) Probability of Target Price Finishing Over Current Price

    PUF6 -- Germany ETF  

    EUR 10.44  0.03  0.29%

    PUTNAM WT probability of target price tool provides mechanism to make assumptions about upside and downside potential of PUTNAM WT TOT RETURN M EO performance during a given time horizon utilizing its historical volatility. Please specify PUTNAM WT time horizon, a valid symbol (red box) and a target price (blue box) you would like PUTNAM WT odds to be computed. Additionally take a look at Your Equity Center.
    Horizon     30 Days    Login   to change
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    PUTNAM WT Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     10.44 30 days 10.44  CLOSE TO 99%
    Based on normal probability distribution, the odds of PUTNAM WT to move above current price in 30 days from now is close to 99% (This PUTNAM WT TOT RETURN M EO probability density function shows the probability of PUTNAM WT ETF to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, PUTNAM WT TOT RETURN M EO has beta of -0.1635 . This implies as returns on benchmark increase, returns on holding PUTNAM WT are expected to decrease at a much smaller rate. During bear market, however, PUTNAM WT TOT RETURN M EO is likely to outperform the market. Additionally PUTNAM WT TOT RETURN M EO has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     PUTNAM WT Price Density 
     
          
    Current Price   Target Price   
    α
    Alpha over DOW
    =0.11
    β
    Beta against DOW=0.16
    σ
    Overall volatility
    =0.06
    Ir
    Information ratio =0.006673

    PUTNAM WT Alerts

    PUTNAM WT Alerts and Suggestions

    PUTNAM WT TOT is not yet fully synchronised with the market data
    PUTNAM WT TOT generates negative expected return over the last 30 days
    Additionally take a look at Your Equity Center. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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