Correlation Between NYSE Composite and First Eagle
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and First Eagle 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 First Eagle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and First Eagle Gold, you can compare the effects of market volatilities on NYSE Composite and First Eagle 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 First Eagle. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and First Eagle.
Diversification Opportunities for NYSE Composite and First Eagle
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between NYSE and First is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and First Eagle Gold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Eagle Gold 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 First Eagle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Eagle Gold has no effect on the direction of NYSE Composite i.e., NYSE Composite and First Eagle go up and down completely randomly.
Pair Corralation between NYSE Composite and First Eagle
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.35 times more return on investment than First Eagle. However, NYSE Composite is 2.9 times less risky than First Eagle. It trades about 0.24 of its potential returns per unit of risk. First Eagle Gold is currently generating about -0.21 per unit of risk. If you would invest 1,954,967 in NYSE Composite on August 28, 2024 and sell it today you would earn a total of 67,069 from holding NYSE Composite or generate 3.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. First Eagle Gold
Performance |
| Timeline |
NYSE Composite and First Eagle Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
First Eagle Gold
Pair trading matchups for First Eagle
Pair Trading with NYSE Composite and First Eagle
The main advantage of trading using opposite NYSE Composite and First Eagle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, First Eagle 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 First Eagle will offset losses from the drop in First Eagle's long position.| NYSE Composite vs. Hooker Furniture | NYSE Composite vs. Hudson Pacific Properties | NYSE Composite vs. Canlan Ice Sports | NYSE Composite vs. Boston Properties |
| First Eagle vs. Franklin Gold Precious | First Eagle vs. First Eagle Global | First Eagle vs. Ivy Asset Strategy |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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