Correlation Between Columbia Ultra and Multi Manager
Can any of the company-specific risk be diversified away by investing in both Columbia Ultra and Multi Manager 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 Multi Manager 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 Multi Manager Directional Alternative, you can compare the effects of market volatilities on Columbia Ultra and Multi Manager 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 Multi Manager. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Ultra and Multi Manager.
Diversification Opportunities for Columbia Ultra and Multi Manager
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Columbia and Multi is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Ultra Short and Multi Manager Directional Alte in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Manager Direct 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 Multi Manager. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Manager Direct has no effect on the direction of Columbia Ultra i.e., Columbia Ultra and Multi Manager go up and down completely randomly.
Pair Corralation between Columbia Ultra and Multi Manager
Assuming the 90 days horizon Columbia Ultra is expected to generate 4.3 times less return on investment than Multi Manager. But when comparing it to its historical volatility, Columbia Ultra Short is 4.19 times less risky than Multi Manager. It trades about 0.24 of its potential returns per unit of risk. Multi Manager Directional Alternative is currently generating about 0.25 of returns per unit of risk over similar time horizon. If you would invest 773.00 in Multi Manager Directional Alternative on July 9, 2025 and sell it today you would earn a total of 48.00 from holding Multi Manager Directional Alternative or generate 6.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Ultra Short vs. Multi Manager Directional Alte
Performance |
Timeline |
Columbia Ultra Short |
Multi Manager Direct |
Columbia Ultra and Multi Manager Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Ultra and Multi Manager
The main advantage of trading using opposite Columbia Ultra and Multi Manager positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Ultra position performs unexpectedly, Multi Manager 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 Multi Manager will offset losses from the drop in Multi Manager's long position.Columbia Ultra vs. Prudential Qma Small Cap | Columbia Ultra vs. Applied Finance Explorer | Columbia Ultra vs. Ridgeworth Ceredex Mid Cap | Columbia Ultra vs. Ridgeworth Ceredex Mid Cap |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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