Correlation Between NYSE Composite and Gmo Benchmark-free
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Gmo Benchmark-free 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 NYSE Composite and Gmo Benchmark-free into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Gmo Benchmark Free Fund, you can compare the effects of market volatilities on NYSE Composite and Gmo Benchmark-free 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 NYSE Composite with a short position of Gmo Benchmark-free. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Gmo Benchmark-free.
Diversification Opportunities for NYSE Composite and Gmo Benchmark-free
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NYSE and Gmo is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Gmo Benchmark Free Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Benchmark Free and NYSE Composite 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 NYSE Composite are associated (or correlated) with Gmo Benchmark-free. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Benchmark Free has no effect on the direction of NYSE Composite i.e., NYSE Composite and Gmo Benchmark-free go up and down completely randomly.
Pair Corralation between NYSE Composite and Gmo Benchmark-free
Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.46 times more return on investment than Gmo Benchmark-free. However, NYSE Composite is 1.46 times more volatile than Gmo Benchmark Free Fund. It trades about 0.28 of its potential returns per unit of risk. Gmo Benchmark Free Fund is currently generating about 0.25 per unit of risk. If you would invest 1,925,429 in NYSE Composite on November 4, 2024 and sell it today you would earn a total of 74,453 from holding NYSE Composite or generate 3.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Gmo Benchmark Free Fund
Performance |
| Timeline |
NYSE Composite and Gmo Benchmark-free Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Gmo Benchmark Free Fund
Pair trading matchups for Gmo Benchmark-free
Pair Trading with NYSE Composite and Gmo Benchmark-free
The main advantage of trading using opposite NYSE Composite and Gmo Benchmark-free positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Gmo Benchmark-free 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 Benchmark-free will offset losses from the drop in Gmo Benchmark-free's long position.| NYSE Composite vs. Aris Water Solutions | NYSE Composite vs. Marfrig Global Foods | NYSE Composite vs. CenterPoint Energy | NYSE Composite vs. Sysco |
| Gmo Benchmark-free vs. Enhanced Fixed Income | Gmo Benchmark-free vs. Gmo Global Equity | Gmo Benchmark-free vs. Small Cap Equity | Gmo Benchmark-free vs. Old Westbury Fixed |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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