Correlation Between Ab Global and Gmo Global
Can any of the company-specific risk be diversified away by investing in both Ab Global and Gmo Global 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 Ab Global and Gmo Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ab Global Bond and Gmo Global Equity, you can compare the effects of market volatilities on Ab Global and Gmo Global 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 Ab Global with a short position of Gmo Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ab Global and Gmo Global.
Diversification Opportunities for Ab Global and Gmo Global
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ANAGX and Gmo is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Ab Global Bond and Gmo Global Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Global Equity and Ab Global 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 Ab Global Bond are associated (or correlated) with Gmo Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Global Equity has no effect on the direction of Ab Global i.e., Ab Global and Gmo Global go up and down completely randomly.
Pair Corralation between Ab Global and Gmo Global
Assuming the 90 days horizon Ab Global is expected to generate 29.41 times less return on investment than Gmo Global. But when comparing it to its historical volatility, Ab Global Bond is 2.52 times less risky than Gmo Global. It trades about 0.03 of its potential returns per unit of risk. Gmo Global Equity is currently generating about 0.34 of returns per unit of risk over similar time horizon. If you would invest 2,807 in Gmo Global Equity on November 3, 2024 and sell it today you would earn a total of 127.00 from holding Gmo Global Equity or generate 4.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ab Global Bond vs. Gmo Global Equity
Performance |
| Timeline |
| Ab Global Bond |
| Gmo Global Equity |
Ab Global and Gmo Global Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ab Global and Gmo Global
The main advantage of trading using opposite Ab Global and Gmo Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab Global position performs unexpectedly, Gmo Global 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 Gmo Global will offset losses from the drop in Gmo Global's long position.| Ab Global vs. Davis Government Bond | Ab Global vs. Dunham Porategovernment Bond | Ab Global vs. Great West Government Mortgage | Ab Global vs. Intermediate Government Bond |
| Gmo Global vs. Thrivent Natural Resources | Gmo Global vs. Goehring Rozencwajg Resources | Gmo Global vs. Invesco Energy Fund | Gmo Global vs. World Energy Fund |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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