Correlation Between Nyxoah and JetBlue Airways
Can any of the company-specific risk be diversified away by investing in both Nyxoah and JetBlue Airways 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 Nyxoah and JetBlue Airways into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nyxoah and JetBlue Airways Corp, you can compare the effects of market volatilities on Nyxoah and JetBlue Airways 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 Nyxoah with a short position of JetBlue Airways. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nyxoah and JetBlue Airways.
Diversification Opportunities for Nyxoah and JetBlue Airways
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Nyxoah and JetBlue is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Nyxoah and JetBlue Airways Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JetBlue Airways Corp and Nyxoah 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 Nyxoah are associated (or correlated) with JetBlue Airways. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JetBlue Airways Corp has no effect on the direction of Nyxoah i.e., Nyxoah and JetBlue Airways go up and down completely randomly.
Pair Corralation between Nyxoah and JetBlue Airways
Given the investment horizon of 90 days Nyxoah is expected to generate 3.41 times less return on investment than JetBlue Airways. But when comparing it to its historical volatility, Nyxoah is 1.86 times less risky than JetBlue Airways. It trades about 0.04 of its potential returns per unit of risk. JetBlue Airways Corp is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 508.00 in JetBlue Airways Corp on August 30, 2024 and sell it today you would earn a total of 88.00 from holding JetBlue Airways Corp or generate 17.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Nyxoah vs. JetBlue Airways Corp
Performance |
Timeline |
Nyxoah |
JetBlue Airways Corp |
Nyxoah and JetBlue Airways Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nyxoah and JetBlue Airways
The main advantage of trading using opposite Nyxoah and JetBlue Airways positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nyxoah position performs unexpectedly, JetBlue Airways 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 JetBlue Airways will offset losses from the drop in JetBlue Airways' long position.Nyxoah vs. ReShape Lifesciences | Nyxoah vs. Bone Biologics Corp | Nyxoah vs. Tivic Health Systems | Nyxoah vs. Nuwellis |
JetBlue Airways vs. American Airlines Group | JetBlue Airways vs. Southwest Airlines | JetBlue Airways vs. United Airlines Holdings | JetBlue Airways vs. Frontier Group Holdings |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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