Correlation Between NYSE Composite and Eagle Mid
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Eagle Mid 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 Eagle Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Eagle Mid Cap, you can compare the effects of market volatilities on NYSE Composite and Eagle Mid 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 Eagle Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Eagle Mid.
Diversification Opportunities for NYSE Composite and Eagle Mid
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between NYSE and Eagle is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Eagle Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eagle Mid Cap 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 Eagle Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eagle Mid Cap has no effect on the direction of NYSE Composite i.e., NYSE Composite and Eagle Mid go up and down completely randomly.
Pair Corralation between NYSE Composite and Eagle Mid
Assuming the 90 days trading horizon NYSE Composite is expected to generate 4.23 times less return on investment than Eagle Mid. But when comparing it to its historical volatility, NYSE Composite is 1.95 times less risky than Eagle Mid. It trades about 0.13 of its potential returns per unit of risk. Eagle Mid Cap is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 8,353 in Eagle Mid Cap on August 24, 2024 and sell it today you would earn a total of 665.00 from holding Eagle Mid Cap or generate 7.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 95.65% |
| Values | Daily Returns |
NYSE Composite vs. Eagle Mid Cap
Performance |
| Timeline |
NYSE Composite and Eagle Mid Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Eagle Mid Cap
Pair trading matchups for Eagle Mid
Pair Trading with NYSE Composite and Eagle Mid
The main advantage of trading using opposite NYSE Composite and Eagle Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Eagle Mid 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 Eagle Mid will offset losses from the drop in Eagle Mid's long position.| NYSE Composite vs. Awilco Drilling PLC | NYSE Composite vs. AKITA Drilling | NYSE Composite vs. SunOpta | NYSE Composite vs. Delek Drilling |
| Eagle Mid vs. Ab High Income | Eagle Mid vs. Ab Global Risk | Eagle Mid vs. Lgm Risk Managed | Eagle Mid vs. Franklin High Income |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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