Correlation Between Multi-manager High and Ab High
Can any of the company-specific risk be diversified away by investing in both Multi-manager High and Ab High 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 Ab High 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 Ab High Income, you can compare the effects of market volatilities on Multi-manager High and Ab High 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 Ab High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi-manager High and Ab High.
Diversification Opportunities for Multi-manager High and Ab High
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Multi-manager and AGDIX is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Multi Manager High Yield and Ab High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab High Income 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 Ab High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab High Income has no effect on the direction of Multi-manager High i.e., Multi-manager High and Ab High go up and down completely randomly.
Pair Corralation between Multi-manager High and Ab High
Assuming the 90 days horizon Multi Manager High Yield is expected to generate 1.04 times more return on investment than Ab High. However, Multi-manager High is 1.04 times more volatile than Ab High Income. It trades about -0.11 of its potential returns per unit of risk. Ab High Income is currently generating about -0.37 per unit of risk. If you would invest 844.00 in Multi Manager High Yield on October 11, 2024 and sell it today you would lose (3.00) from holding Multi Manager High Yield or give up 0.36% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Multi Manager High Yield vs. Ab High Income
Performance |
| Timeline |
| Multi Manager High |
| Ab High Income |
Multi-manager High and Ab High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Multi-manager High and Ab High
The main advantage of trading using opposite Multi-manager High and Ab High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi-manager High position performs unexpectedly, Ab High 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 Ab High will offset losses from the drop in Ab High's long position.| Multi-manager High vs. Legg Mason Global | Multi-manager High vs. Mirova Global Green | Multi-manager High vs. Alliancebernstein Global Highome | Multi-manager High vs. Artisan Global Opportunities |
| Ab High vs. Qs Large Cap | Ab High vs. Qs Large Cap | Ab High vs. Profunds Large Cap Growth | Ab High vs. Qs Large Cap |
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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