Correlation Between Energy Transfer and China Gas
Can any of the company-specific risk be diversified away by investing in both Energy Transfer and China Gas 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 China Gas 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 China Gas Holdings, you can compare the effects of market volatilities on Energy Transfer and China Gas 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 China Gas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Transfer and China Gas.
Diversification Opportunities for Energy Transfer and China Gas
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Energy and China is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Energy Transfer LP and China Gas Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Gas Holdings 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 China Gas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Gas Holdings has no effect on the direction of Energy Transfer i.e., Energy Transfer and China Gas go up and down completely randomly.
Pair Corralation between Energy Transfer and China Gas
Allowing for the 90-day total investment horizon Energy Transfer LP is expected to generate 1.57 times more return on investment than China Gas. However, Energy Transfer is 1.57 times more volatile than China Gas Holdings. It trades about 0.39 of its potential returns per unit of risk. China Gas Holdings is currently generating about -0.24 per unit of risk. If you would invest 1,904 in Energy Transfer LP on October 23, 2024 and sell it today you would earn a total of 187.00 from holding Energy Transfer LP or generate 9.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 94.74% |
Values | Daily Returns |
Energy Transfer LP vs. China Gas Holdings
Performance |
Timeline |
Energy Transfer LP |
China Gas Holdings |
Energy Transfer and China Gas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Transfer and China Gas
The main advantage of trading using opposite Energy Transfer and China Gas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Transfer position performs unexpectedly, China Gas 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 China Gas will offset losses from the drop in China Gas' long position.Energy Transfer vs. Kinder Morgan | Energy Transfer vs. MPLX LP | Energy Transfer vs. Enbridge | Energy Transfer vs. Enterprise Products Partners |
China Gas vs. Shake Shack | China Gas vs. RCI Hospitality Holdings | China Gas vs. DiamondRock Hospitality | China Gas vs. Mesa Air Group |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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