Correlation Between JetBlue Airways and JPMorgan ETFs
Can any of the company-specific risk be diversified away by investing in both JetBlue Airways and JPMorgan ETFs 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 JetBlue Airways and JPMorgan ETFs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JetBlue Airways Corp and JPMorgan ETFs ICAV, you can compare the effects of market volatilities on JetBlue Airways and JPMorgan ETFs 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 JetBlue Airways with a short position of JPMorgan ETFs. Check out your portfolio center. Please also check ongoing floating volatility patterns of JetBlue Airways and JPMorgan ETFs.
Diversification Opportunities for JetBlue Airways and JPMorgan ETFs
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between JetBlue and JPMorgan is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding JetBlue Airways Corp and JPMorgan ETFs ICAV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan ETFs ICAV and JetBlue Airways 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 JetBlue Airways Corp are associated (or correlated) with JPMorgan ETFs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan ETFs ICAV has no effect on the direction of JetBlue Airways i.e., JetBlue Airways and JPMorgan ETFs go up and down completely randomly.
Pair Corralation between JetBlue Airways and JPMorgan ETFs
Given the investment horizon of 90 days JetBlue Airways Corp is expected to generate 23.09 times more return on investment than JPMorgan ETFs. However, JetBlue Airways is 23.09 times more volatile than JPMorgan ETFs ICAV. It trades about 0.16 of its potential returns per unit of risk. JPMorgan ETFs ICAV is currently generating about 0.12 per unit of risk. If you would invest 605.00 in JetBlue Airways Corp on October 8, 2024 and sell it today you would earn a total of 146.00 from holding JetBlue Airways Corp or generate 24.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
JetBlue Airways Corp vs. JPMorgan ETFs ICAV
Performance |
Timeline |
JetBlue Airways Corp |
JPMorgan ETFs ICAV |
JetBlue Airways and JPMorgan ETFs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JetBlue Airways and JPMorgan ETFs
The main advantage of trading using opposite JetBlue Airways and JPMorgan ETFs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JetBlue Airways position performs unexpectedly, JPMorgan ETFs 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 JPMorgan ETFs will offset losses from the drop in JPMorgan ETFs' long position.JetBlue Airways vs. Frontier Group Holdings | JetBlue Airways vs. Southwest Airlines | JetBlue Airways vs. United Airlines Holdings | JetBlue Airways vs. American Airlines Group |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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