Correlation Between Gmo High and Real Assets
Can any of the company-specific risk be diversified away by investing in both Gmo High and Real Assets 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 Gmo High and Real Assets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo High Yield and Real Assets Portfolio, you can compare the effects of market volatilities on Gmo High and Real Assets 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 Gmo High with a short position of Real Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo High and Real Assets.
Diversification Opportunities for Gmo High and Real Assets
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gmo and Real is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Gmo High Yield and Real Assets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Assets Portfolio and Gmo 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 Gmo High Yield are associated (or correlated) with Real Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Assets Portfolio has no effect on the direction of Gmo High i.e., Gmo High and Real Assets go up and down completely randomly.
Pair Corralation between Gmo High and Real Assets
Assuming the 90 days horizon Gmo High is expected to generate 1.03 times less return on investment than Real Assets. But when comparing it to its historical volatility, Gmo High Yield is 1.81 times less risky than Real Assets. It trades about 0.29 of its potential returns per unit of risk. Real Assets Portfolio is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1,062 in Real Assets Portfolio on May 20, 2025 and sell it today you would earn a total of 28.00 from holding Real Assets Portfolio or generate 2.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 87.1% |
Values | Daily Returns |
Gmo High Yield vs. Real Assets Portfolio
Performance |
Timeline |
Gmo High Yield |
Real Assets Portfolio |
Risk-Adjusted Performance
Good
Weak | Strong |
Gmo High and Real Assets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo High and Real Assets
The main advantage of trading using opposite Gmo High and Real Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo High position performs unexpectedly, Real Assets 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 Real Assets will offset losses from the drop in Real Assets' long position.Gmo High vs. Lord Abbett Inflation | Gmo High vs. Inflation Protected Bond Fund | Gmo High vs. Ab Bond Inflation | Gmo High vs. The Hartford Inflation |
Real Assets vs. Old Westbury Fixed | Real Assets vs. Ab Bond Inflation | Real Assets vs. Artisan High Income | Real Assets vs. Gmo High Yield |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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