Columbia Greater Correlations

NGCAX Fund  USD 34.34  0.34  0.94%   
The correlation of Columbia Greater 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 Correlation Analysis 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 various price indices.

Moving together with Columbia Mutual Fund

  0.98FHKTX Fidelity China RegionPairCorr
  0.98FCHKX Fidelity China RegionPairCorr
  0.98FHKAX Fidelity China RegionPairCorr
  0.91FHKIX Fidelity China RegionPairCorr
  0.79PFN Pimco Income StrategyPairCorr
  0.66XOM Exxon Mobil Corp Fiscal Year End 7th of February 2025 PairCorr

Moving against Columbia Mutual Fund

  0.48PG Procter GamblePairCorr

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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Risk-Adjusted Indicators

There is a big difference between Columbia Mutual Fund performing well and Columbia Greater 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 Columbia Greater'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.