Correlation Between Cheniere Energy and Kinder Morgan
Can any of the company-specific risk be diversified away by investing in both Cheniere Energy and Kinder Morgan 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 Cheniere Energy and Kinder Morgan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheniere Energy and Kinder Morgan, you can compare the effects of market volatilities on Cheniere Energy and Kinder Morgan 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 Cheniere Energy with a short position of Kinder Morgan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheniere Energy and Kinder Morgan.
Diversification Opportunities for Cheniere Energy and Kinder Morgan
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Cheniere and Kinder is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Cheniere Energy and Kinder Morgan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kinder Morgan and Cheniere Energy 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 Cheniere Energy are associated (or correlated) with Kinder Morgan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kinder Morgan has no effect on the direction of Cheniere Energy i.e., Cheniere Energy and Kinder Morgan go up and down completely randomly.
Pair Corralation between Cheniere Energy and Kinder Morgan
Assuming the 90 days trading horizon Cheniere Energy is expected to generate 1.28 times less return on investment than Kinder Morgan. In addition to that, Cheniere Energy is 1.36 times more volatile than Kinder Morgan. It trades about 0.05 of its total potential returns per unit of risk. Kinder Morgan is currently generating about 0.08 per unit of volatility. If you would invest 1,521 in Kinder Morgan on September 22, 2024 and sell it today you would earn a total of 1,020 from holding Kinder Morgan or generate 67.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cheniere Energy vs. Kinder Morgan
Performance |
Timeline |
Cheniere Energy |
Kinder Morgan |
Cheniere Energy and Kinder Morgan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheniere Energy and Kinder Morgan
The main advantage of trading using opposite Cheniere Energy and Kinder Morgan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheniere Energy position performs unexpectedly, Kinder Morgan 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 Kinder Morgan will offset losses from the drop in Kinder Morgan's long position.Cheniere Energy vs. Superior Plus Corp | Cheniere Energy vs. SIVERS SEMICONDUCTORS AB | Cheniere Energy vs. NorAm Drilling AS | Cheniere Energy vs. BANK HANDLOWY |
Kinder Morgan vs. Superior Plus Corp | Kinder Morgan vs. SIVERS SEMICONDUCTORS AB | Kinder Morgan vs. NorAm Drilling AS | Kinder Morgan vs. BANK HANDLOWY |
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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