Fidelity California Correlations

FCMTX Fund  USD 12.01  0.04  0.33%   
The current 90-days correlation between Fidelity California and Mid Cap Growth is 0.08 (i.e., Significant diversification). The correlation of Fidelity California 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.
  
Check out Investing Opportunities to better understand how to build diversified portfolios. 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 estimate.

Moving together with Fidelity Mutual Fund

  0.9FPXTX Fidelity PennsylvaniaPairCorr
  0.66FRAMX Fidelity Income ReplPairCorr
  0.61FRESX Fidelity Real EstatePairCorr

Moving against Fidelity Mutual Fund

  0.31FPUKX Fidelity PuritanPairCorr

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
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High negative correlations   
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GCIGXTEGAX

Risk-Adjusted Indicators

There is a big difference between Fidelity Mutual Fund performing well and Fidelity California 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 Fidelity California'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.