MFS Blended Probability of Target Price Finishing Over Current Price

    BRKCX -- USA Fund  

    USD 12.57  0.00  0.00%

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

    Current PriceHorizonTarget PriceOdds to move above current price in 30 days
     12.57 30 days 12.57  ABOUT 9.66%
    Based on normal probability distribution, the odds of MFS Blended to move above current price in 30 days from now is about 9.66% (This MFS Blended Research Em Mkts Eq C probability density function shows the probability of MFS Blended Fund to fall within a particular range of prices over 30 days) .
    Assuming 30 trading days horizon, MFS Blended has beta of 0.1717 . This suggests as returns on market go up, MFS Blended average returns are expected to increase less than the benchmark. However during bear market, the loss on holding MFS Blended Research Em Mkts Eq C will be expected to be much smaller as well. Additionally The company has a negative alpha implying that the risk taken by holding this equity is not justified. MFS Blended Research is significantly underperforming DOW.
     MFS Blended Price Density 
    Alpha over DOW
    Beta against DOW=0.17
    Overall volatility
    Information ratio =0.28

    MFS Blended Alerts

    MFS Blended Alerts and Suggestions

    MFS Blended Research is not yet fully synchronised with the market data
    The fund holds 98.38% of its assets under management (AUM) in equities

    Price Density Drivers

    MFS Blended Health Indicators

    Check also Trending Equities. Please also try Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of macroaxis ideas.