Correlation Between Global Real and Gmo Resources
Can any of the company-specific risk be diversified away by investing in both Global Real 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 Global Real and Gmo Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Real Estate and Gmo Resources, you can compare the effects of market volatilities on Global Real 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 Global Real with a short position of Gmo Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Real and Gmo Resources.
Diversification Opportunities for Global Real and Gmo Resources
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Global and Gmo is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Global Real Estate and Gmo Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Resources and Global Real 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 Global Real Estate 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 Global Real i.e., Global Real and Gmo Resources go up and down completely randomly.
Pair Corralation between Global Real and Gmo Resources
Assuming the 90 days horizon Global Real Estate is expected to under-perform the Gmo Resources. But the mutual fund apears to be less risky and, when comparing its historical volatility, Global Real Estate is 1.6 times less risky than Gmo Resources. The mutual fund trades about -0.13 of its potential returns per unit of risk. The Gmo Resources is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 2,018 in Gmo Resources on August 25, 2024 and sell it today you would lose (6.00) from holding Gmo Resources or give up 0.3% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Global Real Estate vs. Gmo Resources
Performance |
| Timeline |
| Global Real Estate |
| Gmo Resources |
Global Real and Gmo Resources Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Global Real and Gmo Resources
The main advantage of trading using opposite Global Real and Gmo Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Real 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.| Global Real vs. Gmo Resources | Global Real vs. Franklin Natural Resources | Global Real vs. Jennison Natural Resources | Global Real vs. Alpsalerian Energy Infrastructure |
| Gmo Resources vs. Gmo E Plus | Gmo Resources vs. Gmo Trust | Gmo Resources vs. Gmo Treasury Fund | Gmo Resources vs. Gmo Trust |
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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