Mfs Utilities Correlations

MMUBX Fund  USD 24.76  0.04  0.16%   
The current 90-days correlation between Mfs Utilities and Siit High Yield is 0.21 (i.e., Modest diversification). The correlation of Mfs Utilities 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 Utilities Correlation With Market

Average diversification

The correlation between Mfs Utilities Fund and DJI is 0.12 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Utilities Fund and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mfs Utilities Fund. 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 bureau of labor statistics.

Moving together with Mfs Mutual Fund

  0.64D Dominion EnergyPairCorr
  0.81SO SouthernPairCorr
  0.69CMS-PB Consumers EnergyPairCorr
  0.64CMS-PC CMS EnergyPairCorr
  0.81BEP Brookfield RenewablePairCorr
  0.67BIP Brookfield InfrastructurePairCorr
  0.75CEG Constellation Energy Corp Downward RallyPairCorr
  0.91CMS CMS EnergyPairCorr

Moving against Mfs Mutual Fund

  0.45HE Hawaiian ElectricPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Mfs Mutual Fund performing well and Mfs Utilities 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 Utilities' 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.