Correlation Between Pembina Pipeline and Parkland Fuel
Can any of the company-specific risk be diversified away by investing in both Pembina Pipeline and Parkland Fuel 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 Parkland Fuel 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 Parkland Fuel, you can compare the effects of market volatilities on Pembina Pipeline and Parkland Fuel 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 Parkland Fuel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pembina Pipeline and Parkland Fuel.
Diversification Opportunities for Pembina Pipeline and Parkland Fuel
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Pembina and Parkland is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Pembina Pipeline Corp and Parkland Fuel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Parkland Fuel 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 Parkland Fuel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Parkland Fuel has no effect on the direction of Pembina Pipeline i.e., Pembina Pipeline and Parkland Fuel go up and down completely randomly.
Pair Corralation between Pembina Pipeline and Parkland Fuel
Assuming the 90 days trading horizon Pembina Pipeline is expected to generate 1.45 times less return on investment than Parkland Fuel. But when comparing it to its historical volatility, Pembina Pipeline Corp is 1.78 times less risky than Parkland Fuel. It trades about 0.12 of its potential returns per unit of risk. Parkland Fuel is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 3,195 in Parkland Fuel on December 30, 2024 and sell it today you would earn a total of 425.00 from holding Parkland Fuel or generate 13.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pembina Pipeline Corp vs. Parkland Fuel
Performance |
Timeline |
Pembina Pipeline Corp |
Parkland Fuel |
Pembina Pipeline and Parkland Fuel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pembina Pipeline and Parkland Fuel
The main advantage of trading using opposite Pembina Pipeline and Parkland Fuel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pembina Pipeline position performs unexpectedly, Parkland Fuel 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 Parkland Fuel will offset losses from the drop in Parkland Fuel'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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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