Correlation Between JetBlue Airways and Magna International
Can any of the company-specific risk be diversified away by investing in both JetBlue Airways and Magna International 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 Magna International 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 Magna International, you can compare the effects of market volatilities on JetBlue Airways and Magna International 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 Magna International. Check out your portfolio center. Please also check ongoing floating volatility patterns of JetBlue Airways and Magna International.
Diversification Opportunities for JetBlue Airways and Magna International
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between JetBlue and Magna is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding JetBlue Airways Corp and Magna International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magna International 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 Magna International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magna International has no effect on the direction of JetBlue Airways i.e., JetBlue Airways and Magna International go up and down completely randomly.
Pair Corralation between JetBlue Airways and Magna International
Given the investment horizon of 90 days JetBlue Airways Corp is expected to generate 1.84 times more return on investment than Magna International. However, JetBlue Airways is 1.84 times more volatile than Magna International. It trades about 0.01 of its potential returns per unit of risk. Magna International is currently generating about -0.01 per unit of risk. If you would invest 769.00 in JetBlue Airways Corp on September 2, 2024 and sell it today you would lose (172.00) from holding JetBlue Airways Corp or give up 22.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JetBlue Airways Corp vs. Magna International
Performance |
Timeline |
JetBlue Airways Corp |
Magna International |
JetBlue Airways and Magna International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JetBlue Airways and Magna International
The main advantage of trading using opposite JetBlue Airways and Magna International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JetBlue Airways position performs unexpectedly, Magna International 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 Magna International will offset losses from the drop in Magna International's 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 |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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