Correlation Between JetBlue Airways and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both JetBlue Airways and Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs Asia, you can compare the effects of market volatilities on JetBlue Airways and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of JetBlue Airways and Goldman Sachs.
Diversification Opportunities for JetBlue Airways and Goldman Sachs
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between JetBlue and Goldman is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding JetBlue Airways Corp and Goldman Sachs Asia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Asia 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Asia has no effect on the direction of JetBlue Airways i.e., JetBlue Airways and Goldman Sachs go up and down completely randomly.
Pair Corralation between JetBlue Airways and Goldman Sachs
Given the investment horizon of 90 days JetBlue Airways Corp is expected to generate 3.03 times more return on investment than Goldman Sachs. However, JetBlue Airways is 3.03 times more volatile than Goldman Sachs Asia. It trades about 0.05 of its potential returns per unit of risk. Goldman Sachs Asia is currently generating about -0.06 per unit of risk. If you would invest 718.00 in JetBlue Airways Corp on October 23, 2024 and sell it today you would earn a total of 46.00 from holding JetBlue Airways Corp or generate 6.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JetBlue Airways Corp vs. Goldman Sachs Asia
Performance |
Timeline |
JetBlue Airways Corp |
Goldman Sachs Asia |
JetBlue Airways and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JetBlue Airways and Goldman Sachs
The main advantage of trading using opposite JetBlue Airways and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JetBlue Airways position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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