Mfs Blended Correlations

BRKAX Fund  USD 18.03  0.67  3.86%   
The current 90-days correlation between Mfs Blended Research and Great West Moderately Aggressive is -0.13 (i.e., Good diversification). The correlation of Mfs Blended is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

Mfs Blended Correlation With Market

Significant diversification

The correlation between Mfs Blended Research and DJI is 0.05 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Blended Research and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Mfs Blended Research. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in nation.

Moving together with Mfs Mutual Fund

  0.86BRKCX Mfs Blended ResearchPairCorr
  0.85BRKVX Mfs Blended ResearchPairCorr
  0.85BRKSX Mfs Blended ResearchPairCorr
  0.69BRXAX Mfs Blended ResearchPairCorr
  0.72MPMAX Mfs MassachusettsPairCorr
  0.7MPMDX Mfs Maryland MunicipalPairCorr
  0.73MPMNX Mfs Municipal IncomePairCorr
  0.72MPPAX Mfs Pennsylvania MunPairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

There is a big difference between Mfs Mutual Fund performing well and Mfs Blended Mutual Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Mfs Blended's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.