Correlation Between Columbia and Active Portfolios
Can any of the company-specific risk be diversified away by investing in both Columbia and Active Portfolios 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 Active Portfolios into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Treasury Index and Active Portfolios Multi Manager, you can compare the effects of market volatilities on Columbia and Active Portfolios 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 Active Portfolios. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia and Active Portfolios.
Diversification Opportunities for Columbia and Active Portfolios
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Columbia and Active is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Treasury Index and Active Portfolios Multi Manage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Active Portfolios Multi 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 Treasury Index are associated (or correlated) with Active Portfolios. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Active Portfolios Multi has no effect on the direction of Columbia i.e., Columbia and Active Portfolios go up and down completely randomly.
Pair Corralation between Columbia and Active Portfolios
Assuming the 90 days horizon Columbia Treasury Index is expected to under-perform the Active Portfolios. But the mutual fund apears to be less risky and, when comparing its historical volatility, Columbia Treasury Index is 1.03 times less risky than Active Portfolios. The mutual fund trades about -0.17 of its potential returns per unit of risk. The Active Portfolios Multi Manager is currently generating about -0.16 of returns per unit of risk over similar time horizon. If you would invest 885.00 in Active Portfolios Multi Manager on August 29, 2024 and sell it today you would lose (21.00) from holding Active Portfolios Multi Manager or give up 2.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Treasury Index vs. Active Portfolios Multi Manage
Performance |
Timeline |
Columbia Treasury Index |
Active Portfolios Multi |
Columbia and Active Portfolios Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia and Active Portfolios
The main advantage of trading using opposite Columbia and Active Portfolios positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia position performs unexpectedly, Active Portfolios 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 Active Portfolios will offset losses from the drop in Active Portfolios' long position.Columbia vs. Columbia Large Cap | Columbia vs. Columbia Large Cap | Columbia vs. Columbia International Value | Columbia vs. Columbia Large 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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