Correlation Between Bank of America and Pembina Pipeline
Can any of the company-specific risk be diversified away by investing in both Bank of America and Pembina Pipeline 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 Bank of America and Pembina Pipeline into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of America and Pembina Pipeline Corp, you can compare the effects of market volatilities on Bank of America and Pembina Pipeline 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 Bank of America with a short position of Pembina Pipeline. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Pembina Pipeline.
Diversification Opportunities for Bank of America and Pembina Pipeline
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and Pembina is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Pembina Pipeline Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pembina Pipeline Corp and Bank of America 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 Bank of America are associated (or correlated) with Pembina Pipeline. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pembina Pipeline Corp has no effect on the direction of Bank of America i.e., Bank of America and Pembina Pipeline go up and down completely randomly.
Pair Corralation between Bank of America and Pembina Pipeline
Assuming the 90 days trading horizon Bank of America is expected to under-perform the Pembina Pipeline. In addition to that, Bank of America is 1.97 times more volatile than Pembina Pipeline Corp. It trades about -0.02 of its total potential returns per unit of risk. Pembina Pipeline Corp is currently generating about 0.19 per unit of volatility. If you would invest 2,068 in Pembina Pipeline Corp on December 4, 2024 and sell it today you would earn a total of 157.00 from holding Pembina Pipeline Corp or generate 7.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. Pembina Pipeline Corp
Performance |
Timeline |
Bank of America |
Pembina Pipeline Corp |
Bank of America and Pembina Pipeline Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Pembina Pipeline
The main advantage of trading using opposite Bank of America and Pembina Pipeline positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Pembina Pipeline 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 Pembina Pipeline will offset losses from the drop in Pembina Pipeline's long position.Bank of America vs. Canlan Ice Sports | Bank of America vs. Postmedia Network Canada | Bank of America vs. InPlay Oil Corp | Bank of America vs. Western Investment |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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