Columbia Seligman Correlations

Mutual Funds . USA . 
Fund . Columbia Seligman Global
CGTYX Fund  USD 81.58  0.22  0.27%   
The current 90-days correlation between Columbia Seligman Global and Fidelity Advisor Gold is -0.49 (i.e., Very good diversification). The correlation of Columbia Seligman 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 Seligman Correlation With Market

Very poor diversification

The correlation between Columbia Seligman Global and DJI is 0.8 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Seligman Global 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 Seligman Global. 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

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Moving against COLUMBIA Mutual Fund

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  0.52ODYS Odysightai Common StockPairCorr
  0.48AXIL AXIL Brands, TrendingPairCorr
  0.41SLNHP Soluna Holdings PreferredPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

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

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