Correlation Between Gmo Benchmark and Gmo Quality
Can any of the company-specific risk be diversified away by investing in both Gmo Benchmark and Gmo Quality 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 Benchmark and Gmo Quality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo Benchmark Free Allocation and Gmo Quality Fund, you can compare the effects of market volatilities on Gmo Benchmark and Gmo Quality 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 Benchmark with a short position of Gmo Quality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo Benchmark and Gmo Quality.
Diversification Opportunities for Gmo Benchmark and Gmo Quality
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gmo and Gmo is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Gmo Benchmark Free Allocation and Gmo Quality Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Quality Fund and Gmo Benchmark 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 Benchmark Free Allocation are associated (or correlated) with Gmo Quality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Quality Fund has no effect on the direction of Gmo Benchmark i.e., Gmo Benchmark and Gmo Quality go up and down completely randomly.
Pair Corralation between Gmo Benchmark and Gmo Quality
Assuming the 90 days horizon Gmo Benchmark is expected to generate 1.37 times less return on investment than Gmo Quality. But when comparing it to its historical volatility, Gmo Benchmark Free Allocation is 1.56 times less risky than Gmo Quality. It trades about 0.13 of its potential returns per unit of risk. Gmo Quality Fund is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 3,485 in Gmo Quality Fund on September 13, 2024 and sell it today you would earn a total of 41.00 from holding Gmo Quality Fund or generate 1.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gmo Benchmark Free Allocation vs. Gmo Quality Fund
Performance |
Timeline |
Gmo Benchmark Free |
Gmo Quality Fund |
Gmo Benchmark and Gmo Quality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo Benchmark and Gmo Quality
The main advantage of trading using opposite Gmo Benchmark and Gmo Quality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo Benchmark position performs unexpectedly, Gmo Quality 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 Quality will offset losses from the drop in Gmo Quality's long position.Gmo Benchmark vs. Gmo E Plus | Gmo Benchmark vs. Gmo Trust | Gmo Benchmark vs. Gmo Treasury Fund | Gmo Benchmark vs. Gmo Trust |
Gmo Quality vs. Gmo E Plus | Gmo Quality vs. Gmo Trust | Gmo Quality vs. Gmo Treasury Fund | Gmo Quality 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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