Correlation Between Multi-manager High and Columbia Mid
Can any of the company-specific risk be diversified away by investing in both Multi-manager High and Columbia Mid 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 Multi-manager High and Columbia Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Manager High Yield and Columbia Mid Cap, you can compare the effects of market volatilities on Multi-manager High and Columbia Mid 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 Multi-manager High with a short position of Columbia Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi-manager High and Columbia Mid.
Diversification Opportunities for Multi-manager High and Columbia Mid
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Multi-manager and Columbia is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Multi Manager High Yield and Columbia Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Mid Cap and Multi-manager High 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 Multi Manager High Yield are associated (or correlated) with Columbia Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Mid Cap has no effect on the direction of Multi-manager High i.e., Multi-manager High and Columbia Mid go up and down completely randomly.
Pair Corralation between Multi-manager High and Columbia Mid
Assuming the 90 days horizon Multi Manager High Yield is expected to generate 0.39 times more return on investment than Columbia Mid. However, Multi Manager High Yield is 2.58 times less risky than Columbia Mid. It trades about -0.19 of its potential returns per unit of risk. Columbia Mid Cap is currently generating about -0.24 per unit of risk. If you would invest 854.00 in Multi Manager High Yield on October 10, 2024 and sell it today you would lose (12.00) from holding Multi Manager High Yield or give up 1.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Manager High Yield vs. Columbia Mid Cap
Performance |
Timeline |
Multi Manager High |
Columbia Mid Cap |
Multi-manager High and Columbia Mid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi-manager High and Columbia Mid
The main advantage of trading using opposite Multi-manager High and Columbia Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi-manager High position performs unexpectedly, Columbia Mid 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 Columbia Mid will offset losses from the drop in Columbia Mid's long position.Multi-manager High vs. Lord Abbett Intermediate | Multi-manager High vs. Dreyfus Municipal Bond | Multi-manager High vs. Ishares Municipal Bond | Multi-manager High vs. Transamerica Intermediate Muni |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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