MGI UK (Ireland) Probability of Target Price Finishing Over Current Price

    IE00BVTW2K76 -- Ireland Fund  

    GBp 9,941  1.00  0.0101%

    MGI UK probability of target price tool provides mechanism to make assumptions about upside and downside potential of MGI UK Cash M 3 GBP Acc performance during a given time horizon utilizing its historical volatility. Please specify MGI UK time horizon, a valid symbol (red box) and a target price (blue box) you would like MGI UK odds to be computed. Please also check Risk vs Return Analysis.
    Horizon     30 Days    Login   to change
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    MGI UK Target Price Odds to finish over

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     9,941 30 days 9,941  ABOUT 22.68%
    Based on normal probability distribution, the odds of MGI UK to move above current price in 30 days from now is about 22.68% (This MGI UK Cash M 3 GBP Acc probability density function shows the probability of MGI UK Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, MGI UK has beta of 0.0036 . This indicates as returns on market go up, MGI UK average returns are expected to increase less than the benchmark. However during bear market, the loss on holding MGI UK Cash M 3 GBP Acc will be expected to be much smaller as well. Additionally MGI UK Cash M 3 GBP Acc has a negative alpha implying that the risk taken by holding this equity is not justified. The company is significantly underperforming DOW
     MGI UK Price Density 
    Current Price   Target Price   
    Alpha over DOW
    Beta against DOW=0.0036
    Overall volatility
    Information ratio =7.99

    MGI UK Alerts

    MGI UK Alerts and Suggestions

    MGI UK Cash is not yet fully synchronised with the market data
    The fund retains about 95.94% of its assets under management (AUM) in cash

    Price Density Drivers

    MGI UK Health Indicators

    Please also check Risk vs Return Analysis. Please also try Headlines Timeline module to stay connected to all market stories and filter out noise. drill down to analyze hype elasticity.