Correlation Between Pembina Pipeline and Element Fleet
Can any of the company-specific risk be diversified away by investing in both Pembina Pipeline and Element Fleet 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 Pembina Pipeline and Element Fleet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pembina Pipeline Corp and Element Fleet Management, you can compare the effects of market volatilities on Pembina Pipeline and Element Fleet 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 Pembina Pipeline with a short position of Element Fleet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pembina Pipeline and Element Fleet.
Diversification Opportunities for Pembina Pipeline and Element Fleet
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pembina and Element is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Pembina Pipeline Corp and Element Fleet Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Element Fleet Management and Pembina Pipeline 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 Pembina Pipeline Corp are associated (or correlated) with Element Fleet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Element Fleet Management has no effect on the direction of Pembina Pipeline i.e., Pembina Pipeline and Element Fleet go up and down completely randomly.
Pair Corralation between Pembina Pipeline and Element Fleet
Assuming the 90 days trading horizon Pembina Pipeline Corp is expected to generate 1.2 times more return on investment than Element Fleet. However, Pembina Pipeline is 1.2 times more volatile than Element Fleet Management. It trades about 0.11 of its potential returns per unit of risk. Element Fleet Management is currently generating about -0.01 per unit of risk. If you would invest 5,246 in Pembina Pipeline Corp on December 31, 2024 and sell it today you would earn a total of 469.00 from holding Pembina Pipeline Corp or generate 8.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pembina Pipeline Corp vs. Element Fleet Management
Performance |
Timeline |
Pembina Pipeline Corp |
Element Fleet Management |
Pembina Pipeline and Element Fleet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pembina Pipeline and Element Fleet
The main advantage of trading using opposite Pembina Pipeline and Element Fleet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pembina Pipeline position performs unexpectedly, Element Fleet 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 Element Fleet will offset losses from the drop in Element Fleet's long position.Pembina Pipeline vs. Goodfood Market Corp | Pembina Pipeline vs. Theralase Technologies | Pembina Pipeline vs. Xtract One Technologies | Pembina Pipeline vs. Plantify Foods |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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