Correlation Between Pembina Pipeline and Volkswagen
Can any of the company-specific risk be diversified away by investing in both Pembina Pipeline and Volkswagen 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 Volkswagen 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 Volkswagen AG, you can compare the effects of market volatilities on Pembina Pipeline and Volkswagen 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 Volkswagen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pembina Pipeline and Volkswagen.
Diversification Opportunities for Pembina Pipeline and Volkswagen
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pembina and Volkswagen is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Pembina Pipeline Corp and Volkswagen AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Volkswagen AG 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 Volkswagen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Volkswagen AG has no effect on the direction of Pembina Pipeline i.e., Pembina Pipeline and Volkswagen go up and down completely randomly.
Pair Corralation between Pembina Pipeline and Volkswagen
Assuming the 90 days horizon Pembina Pipeline Corp is expected to generate 0.77 times more return on investment than Volkswagen. However, Pembina Pipeline Corp is 1.3 times less risky than Volkswagen. It trades about 0.04 of its potential returns per unit of risk. Volkswagen AG is currently generating about -0.1 per unit of risk. If you would invest 3,598 in Pembina Pipeline Corp on September 13, 2024 and sell it today you would earn a total of 102.00 from holding Pembina Pipeline Corp or generate 2.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pembina Pipeline Corp vs. Volkswagen AG
Performance |
Timeline |
Pembina Pipeline Corp |
Volkswagen AG |
Pembina Pipeline and Volkswagen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pembina Pipeline and Volkswagen
The main advantage of trading using opposite Pembina Pipeline and Volkswagen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pembina Pipeline position performs unexpectedly, Volkswagen 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 Volkswagen will offset losses from the drop in Volkswagen's long position.Pembina Pipeline vs. TC Energy | Pembina Pipeline vs. Superior Plus Corp | Pembina Pipeline vs. SIVERS SEMICONDUCTORS AB | Pembina Pipeline vs. NorAm Drilling AS |
Volkswagen vs. Major Drilling Group | Volkswagen vs. Pembina Pipeline Corp | Volkswagen vs. QUEEN S ROAD | Volkswagen vs. SIMS METAL MGT |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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