Correlation Between Keyera Corp and Exchange Income
Can any of the company-specific risk be diversified away by investing in both Keyera Corp and Exchange Income 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 Keyera Corp and Exchange Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Keyera Corp and Exchange Income, you can compare the effects of market volatilities on Keyera Corp and Exchange Income 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 Keyera Corp with a short position of Exchange Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of Keyera Corp and Exchange Income.
Diversification Opportunities for Keyera Corp and Exchange Income
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Keyera and Exchange is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Keyera Corp and Exchange Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Exchange Income and Keyera Corp 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 Keyera Corp are associated (or correlated) with Exchange Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Exchange Income has no effect on the direction of Keyera Corp i.e., Keyera Corp and Exchange Income go up and down completely randomly.
Pair Corralation between Keyera Corp and Exchange Income
Assuming the 90 days trading horizon Keyera Corp is expected to generate 1.0 times more return on investment than Exchange Income. However, Keyera Corp is 1.0 times less risky than Exchange Income. It trades about -0.06 of its potential returns per unit of risk. Exchange Income is currently generating about -0.1 per unit of risk. If you would invest 4,264 in Keyera Corp on October 20, 2024 and sell it today you would lose (69.00) from holding Keyera Corp or give up 1.62% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Keyera Corp vs. Exchange Income
Performance |
| Timeline |
| Keyera Corp |
| Exchange Income |
Keyera Corp and Exchange Income Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Keyera Corp and Exchange Income
The main advantage of trading using opposite Keyera Corp and Exchange Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Keyera Corp position performs unexpectedly, Exchange Income 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 Exchange Income will offset losses from the drop in Exchange Income's long position.| Keyera Corp vs. Pembina Pipeline Corp | Keyera Corp vs. Capital Power | Keyera Corp vs. AltaGas | Keyera Corp vs. Canadian Utilities Limited |
| Exchange Income vs. Capital Power | Exchange Income vs. Keyera Corp | Exchange Income vs. Parkland Fuel | Exchange Income vs. TFI International |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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