Columbia Commodity Correlations

CCFYX Fund  USD 9.98  0.16  1.63%   
The current 90-days correlation between Columbia Modity Strategy and Shelton Emerging Markets is 0.09 (i.e., Significant diversification). The correlation of Columbia Commodity 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.

Columbia Commodity Correlation With Market

Average diversification

The correlation between Columbia Modity Strategy 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 Columbia Modity Strategy 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 Columbia Modity Strategy. 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 manufacturing.

Moving together with Columbia Mutual Fund

  0.71CUSBX Columbia Ultra ShortPairCorr
  0.64CFCIX Columbia Large CapPairCorr
  0.74CFRZX Columbia Floating RatePairCorr
  0.75CFRYX Columbia Floating RatePairCorr

Moving against Columbia Mutual Fund

  0.31SSVIX Columbia Select SmallerPairCorr
  0.36CXXRX Columbia Small CapPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

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