Correlation Between Columbia and Wells Fargo
Can any of the company-specific risk be diversified away by investing in both Columbia and Wells Fargo at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Columbia and Wells Fargo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Government Mortgage and Wells Fargo Government, you can compare the effects of market volatilities on Columbia and Wells Fargo and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Columbia with a short position of Wells Fargo. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia and Wells Fargo.
Diversification Opportunities for Columbia and Wells Fargo
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Columbia and Wells is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Government Mortgage and Wells Fargo Government in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wells Fargo Government and Columbia is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Columbia Government Mortgage are associated (or correlated) with Wells Fargo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wells Fargo Government has no effect on the direction of Columbia i.e., Columbia and Wells Fargo go up and down completely randomly.
Pair Corralation between Columbia and Wells Fargo
Assuming the 90 days horizon Columbia Government Mortgage is expected to generate 1.4 times more return on investment than Wells Fargo. However, Columbia is 1.4 times more volatile than Wells Fargo Government. It trades about 0.07 of its potential returns per unit of risk. Wells Fargo Government is currently generating about 0.08 per unit of risk. If you would invest 1,793 in Columbia Government Mortgage on May 6, 2025 and sell it today you would earn a total of 32.00 from holding Columbia Government Mortgage or generate 1.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Government Mortgage vs. Wells Fargo Government
Performance |
Timeline |
Columbia Government |
Wells Fargo Government |
Columbia and Wells Fargo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia and Wells Fargo
The main advantage of trading using opposite Columbia and Wells Fargo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia position performs unexpectedly, Wells Fargo can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Wells Fargo will offset losses from the drop in Wells Fargo's long position.Columbia vs. Goldman Sachs Clean | Columbia vs. Invesco Gold Special | Columbia vs. Deutsche Gold Precious | Columbia vs. Global Gold Fund |
Wells Fargo vs. Trowe Price Retirement | Wells Fargo vs. Moderately Aggressive Balanced | Wells Fargo vs. Moderate Balanced Allocation | Wells Fargo vs. Blackrock Moderate Prepared |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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