Columbia Seligman Correlations

Columbia Seligman Correlation With Market

Check out World Market Map 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 metropolitan statistical area.

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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    CUTRX + 0.93 SRINX CUSBX + 0.93 CUSHX CUURX + 0.92 CDAZX CDAZX + 0.88 CUSHX CDAZX + 0.87 CUSBX CUURX + 0.77 CUSHX

High negative correlations    CDAZX - 0.83 CUTRX CUTRX - 0.77 CUSBX CUSBX - 0.77 VVPR CUTRX - 0.75 CUSHX CUSHX - 0.75 VVPR CUSHX - 0.74 VHAI

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.