Correlation Between Pembina Pipeline and Sun Lif
Can any of the company-specific risk be diversified away by investing in both Pembina Pipeline and Sun Lif 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 Sun Lif 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 Sun Lif Non, you can compare the effects of market volatilities on Pembina Pipeline and Sun Lif 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 Sun Lif. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pembina Pipeline and Sun Lif.
Diversification Opportunities for Pembina Pipeline and Sun Lif
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pembina and Sun is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Pembina Pipeline Corp and Sun Lif Non in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sun Lif Non 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 Sun Lif. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sun Lif Non has no effect on the direction of Pembina Pipeline i.e., Pembina Pipeline and Sun Lif go up and down completely randomly.
Pair Corralation between Pembina Pipeline and Sun Lif
Assuming the 90 days trading horizon Pembina Pipeline Corp is expected to generate 0.79 times more return on investment than Sun Lif. However, Pembina Pipeline Corp is 1.26 times less risky than Sun Lif. It trades about 0.09 of its potential returns per unit of risk. Sun Lif Non is currently generating about 0.05 per unit of risk. If you would invest 1,499 in Pembina Pipeline Corp on August 30, 2024 and sell it today you would earn a total of 746.00 from holding Pembina Pipeline Corp or generate 49.77% 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. Sun Lif Non
Performance |
| Timeline |
| Pembina Pipeline Corp |
| Sun Lif Non |
Pembina Pipeline and Sun Lif Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Pembina Pipeline and Sun Lif
The main advantage of trading using opposite Pembina Pipeline and Sun Lif positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pembina Pipeline position performs unexpectedly, Sun Lif 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 Sun Lif will offset losses from the drop in Sun Lif's long position.| Pembina Pipeline vs. Pembina Pipeline Corp | Pembina Pipeline vs. Pembina Pipeline Corp | Pembina Pipeline vs. Pembina Pipeline Corp | Pembina Pipeline vs. Pembina Pipeline Corp |
| Sun Lif vs. AKITA Drilling | Sun Lif vs. Fairfax Financial Holdings | Sun Lif vs. Quipt Home Medical | Sun Lif vs. Leons Furniture Limited |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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