Correlation Between JetBlue Airways and Cofina SGPS
Can any of the company-specific risk be diversified away by investing in both JetBlue Airways and Cofina SGPS 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 Cofina SGPS 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 Cofina SGPS SA, you can compare the effects of market volatilities on JetBlue Airways and Cofina SGPS 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 Cofina SGPS. Check out your portfolio center. Please also check ongoing floating volatility patterns of JetBlue Airways and Cofina SGPS.
Diversification Opportunities for JetBlue Airways and Cofina SGPS
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between JetBlue and Cofina is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding JetBlue Airways Corp and Cofina SGPS SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cofina SGPS SA 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 Cofina SGPS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cofina SGPS SA has no effect on the direction of JetBlue Airways i.e., JetBlue Airways and Cofina SGPS go up and down completely randomly.
Pair Corralation between JetBlue Airways and Cofina SGPS
Given the investment horizon of 90 days JetBlue Airways is expected to generate 2.94 times less return on investment than Cofina SGPS. But when comparing it to its historical volatility, JetBlue Airways Corp is 6.51 times less risky than Cofina SGPS. It trades about 0.16 of its potential returns per unit of risk. Cofina SGPS SA is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 3,300 in Cofina SGPS SA on October 8, 2024 and sell it today you would lose (460.00) from holding Cofina SGPS SA or give up 13.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 84.21% |
Values | Daily Returns |
JetBlue Airways Corp vs. Cofina SGPS SA
Performance |
Timeline |
JetBlue Airways Corp |
Cofina SGPS SA |
JetBlue Airways and Cofina SGPS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JetBlue Airways and Cofina SGPS
The main advantage of trading using opposite JetBlue Airways and Cofina SGPS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JetBlue Airways position performs unexpectedly, Cofina SGPS 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 Cofina SGPS will offset losses from the drop in Cofina SGPS'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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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