Correlation Between Ab Global and Gmo Resources
Can any of the company-specific risk be diversified away by investing in both Ab Global and Gmo Resources 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 Resources 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 Resources, you can compare the effects of market volatilities on Ab Global and Gmo Resources 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 Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ab Global and Gmo Resources.
Diversification Opportunities for Ab Global and Gmo Resources
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between ANAGX and Gmo is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Ab Global Bond and Gmo Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Resources 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 Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Resources has no effect on the direction of Ab Global i.e., Ab Global and Gmo Resources go up and down completely randomly.
Pair Corralation between Ab Global and Gmo Resources
Assuming the 90 days horizon Ab Global Bond is expected to generate 0.2 times more return on investment than Gmo Resources. However, Ab Global Bond is 5.01 times less risky than Gmo Resources. It trades about 0.1 of its potential returns per unit of risk. Gmo Resources is currently generating about -0.01 per unit of risk. If you would invest 645.00 in Ab Global Bond on September 14, 2024 and sell it today you would earn a total of 47.00 from holding Ab Global Bond or generate 7.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 99.63% |
| Values | Daily Returns |
Ab Global Bond vs. Gmo Resources
Performance |
| Timeline |
| Ab Global Bond |
| Gmo Resources |
Ab Global and Gmo Resources Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ab Global and Gmo Resources
The main advantage of trading using opposite Ab Global and Gmo Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ab Global position performs unexpectedly, Gmo Resources 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 Resources will offset losses from the drop in Gmo Resources' long position.| Ab Global vs. James Balanced Golden | Ab Global vs. Gabelli Gold Fund | Ab Global vs. Fidelity Advisor Gold | Ab Global vs. International Investors Gold |
| Gmo Resources vs. Ab Global Bond | Gmo Resources vs. Ab Global Risk | Gmo Resources vs. Morningstar Global Income | Gmo Resources vs. Jhancock Global Equity |
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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