Correlation Between Energy Transfer and Global Partners
Can any of the company-specific risk be diversified away by investing in both Energy Transfer and Global Partners 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 Global Partners 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 Global Partners LP, you can compare the effects of market volatilities on Energy Transfer and Global Partners 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 Global Partners. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Transfer and Global Partners.
Diversification Opportunities for Energy Transfer and Global Partners
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Energy and Global is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Energy Transfer LP and Global Partners LP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Partners LP 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 Global Partners. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Partners LP has no effect on the direction of Energy Transfer i.e., Energy Transfer and Global Partners go up and down completely randomly.
Pair Corralation between Energy Transfer and Global Partners
Allowing for the 90-day total investment horizon Energy Transfer is expected to generate 19.37 times less return on investment than Global Partners. But when comparing it to its historical volatility, Energy Transfer LP is 1.36 times less risky than Global Partners. It trades about 0.01 of its potential returns per unit of risk. Global Partners LP is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 4,749 in Global Partners LP on December 27, 2024 and sell it today you would earn a total of 596.00 from holding Global Partners LP or generate 12.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Energy Transfer LP vs. Global Partners LP
Performance |
Timeline |
Energy Transfer LP |
Global Partners LP |
Energy Transfer and Global Partners Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Transfer and Global Partners
The main advantage of trading using opposite Energy Transfer and Global Partners positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Transfer position performs unexpectedly, Global Partners 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 Global Partners will offset losses from the drop in Global Partners' 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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