Correlation Between Columbia Ultra and Grant Park
Can any of the company-specific risk be diversified away by investing in both Columbia Ultra and Grant Park 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 Ultra and Grant Park into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Ultra Short and Grant Park Multi, you can compare the effects of market volatilities on Columbia Ultra and Grant Park 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 Ultra with a short position of Grant Park. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Ultra and Grant Park.
Diversification Opportunities for Columbia Ultra and Grant Park
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Columbia and Grant is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Ultra Short and Grant Park Multi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grant Park Multi and Columbia Ultra 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 Ultra Short are associated (or correlated) with Grant Park. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grant Park Multi has no effect on the direction of Columbia Ultra i.e., Columbia Ultra and Grant Park go up and down completely randomly.
Pair Corralation between Columbia Ultra and Grant Park
Assuming the 90 days horizon Columbia Ultra Short is expected to generate 0.23 times more return on investment than Grant Park. However, Columbia Ultra Short is 4.43 times less risky than Grant Park. It trades about 0.25 of its potential returns per unit of risk. Grant Park Multi is currently generating about 0.02 per unit of risk. If you would invest 829.00 in Columbia Ultra Short on September 26, 2024 and sell it today you would earn a total of 97.00 from holding Columbia Ultra Short or generate 11.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Columbia Ultra Short vs. Grant Park Multi
Performance |
Timeline |
Columbia Ultra Short |
Grant Park Multi |
Columbia Ultra and Grant Park Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Ultra and Grant Park
The main advantage of trading using opposite Columbia Ultra and Grant Park positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Ultra position performs unexpectedly, Grant Park 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 Grant Park will offset losses from the drop in Grant Park's long position.Columbia Ultra vs. Columbia Porate Income | Columbia Ultra vs. Columbia Treasury Index | Columbia Ultra vs. Multi Manager Directional Alternative | Columbia Ultra vs. Columbia Small Cap |
Grant Park vs. Grant Park Multi | Grant Park vs. Grant Park Multi | Grant Park vs. Columbia Ultra Short | Grant Park vs. T Rowe Price |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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