Correlation Between Energy Transfer and Singapore Airlines
Can any of the company-specific risk be diversified away by investing in both Energy Transfer and Singapore Airlines 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 Energy Transfer and Singapore Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy Transfer LP and Singapore Airlines, you can compare the effects of market volatilities on Energy Transfer and Singapore Airlines 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 Energy Transfer with a short position of Singapore Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Transfer and Singapore Airlines.
Diversification Opportunities for Energy Transfer and Singapore Airlines
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Energy and Singapore is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Energy Transfer LP and Singapore Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore Airlines and Energy Transfer 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 Energy Transfer LP are associated (or correlated) with Singapore Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore Airlines has no effect on the direction of Energy Transfer i.e., Energy Transfer and Singapore Airlines go up and down completely randomly.
Pair Corralation between Energy Transfer and Singapore Airlines
Allowing for the 90-day total investment horizon Energy Transfer LP is expected to generate 0.35 times more return on investment than Singapore Airlines. However, Energy Transfer LP is 2.88 times less risky than Singapore Airlines. It trades about 0.34 of its potential returns per unit of risk. Singapore Airlines is currently generating about -0.04 per unit of risk. If you would invest 1,566 in Energy Transfer LP on August 29, 2024 and sell it today you would earn a total of 354.00 from holding Energy Transfer LP or generate 22.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Energy Transfer LP vs. Singapore Airlines
Performance |
Timeline |
Energy Transfer LP |
Singapore Airlines |
Energy Transfer and Singapore Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Transfer and Singapore Airlines
The main advantage of trading using opposite Energy Transfer and Singapore Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Transfer position performs unexpectedly, Singapore Airlines 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 Singapore Airlines will offset losses from the drop in Singapore Airlines' long position.Energy Transfer vs. Kinder Morgan | Energy Transfer vs. MPLX LP | Energy Transfer vs. Enbridge | Energy Transfer vs. Enterprise Products Partners |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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