Correlation Between Columbia Large and Mai Managed
Can any of the company-specific risk be diversified away by investing in both Columbia Large and Mai Managed 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 Large and Mai Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Large Cap and Mai Managed Volatility, you can compare the effects of market volatilities on Columbia Large and Mai Managed 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 Large with a short position of Mai Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Large and Mai Managed.
Diversification Opportunities for Columbia Large and Mai Managed
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Columbia and Mai is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Large Cap and Mai Managed Volatility in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mai Managed Volatility and Columbia Large 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 Large Cap are associated (or correlated) with Mai Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mai Managed Volatility has no effect on the direction of Columbia Large i.e., Columbia Large and Mai Managed go up and down completely randomly.
Pair Corralation between Columbia Large and Mai Managed
Assuming the 90 days horizon Columbia Large Cap is expected to generate 4.04 times more return on investment than Mai Managed. However, Columbia Large is 4.04 times more volatile than Mai Managed Volatility. It trades about 0.11 of its potential returns per unit of risk. Mai Managed Volatility is currently generating about 0.11 per unit of risk. If you would invest 2,111 in Columbia Large Cap on September 29, 2024 and sell it today you would earn a total of 99.00 from holding Columbia Large Cap or generate 4.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 66.67% |
Values | Daily Returns |
Columbia Large Cap vs. Mai Managed Volatility
Performance |
Timeline |
Columbia Large Cap |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
Mai Managed Volatility |
Columbia Large and Mai Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Large and Mai Managed
The main advantage of trading using opposite Columbia Large and Mai Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Large position performs unexpectedly, Mai Managed 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 Mai Managed will offset losses from the drop in Mai Managed's long position.Columbia Large vs. Columbia Porate Income | Columbia Large vs. Columbia Ultra Short | Columbia Large vs. Columbia Treasury Index | Columbia Large vs. Multi Manager Directional Alternative |
Mai Managed vs. Mai Managed Volatility | Mai Managed vs. Vanguard Growth Index | Mai Managed vs. Dunham Focused Large | Mai Managed vs. Angel Oak Ultrashort |
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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