Correlation Between Keyera Corp and Chemtrade Logistics
Can any of the company-specific risk be diversified away by investing in both Keyera Corp and Chemtrade Logistics 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 Chemtrade Logistics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Keyera Corp and Chemtrade Logistics Income, you can compare the effects of market volatilities on Keyera Corp and Chemtrade Logistics 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 Chemtrade Logistics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Keyera Corp and Chemtrade Logistics.
Diversification Opportunities for Keyera Corp and Chemtrade Logistics
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Keyera and Chemtrade is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Keyera Corp and Chemtrade Logistics Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chemtrade Logistics 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 Chemtrade Logistics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chemtrade Logistics has no effect on the direction of Keyera Corp i.e., Keyera Corp and Chemtrade Logistics go up and down completely randomly.
Pair Corralation between Keyera Corp and Chemtrade Logistics
Assuming the 90 days trading horizon Keyera Corp is expected to under-perform the Chemtrade Logistics. But the stock apears to be less risky and, when comparing its historical volatility, Keyera Corp is 1.25 times less risky than Chemtrade Logistics. The stock trades about -0.29 of its potential returns per unit of risk. The Chemtrade Logistics Income is currently generating about -0.2 of returns per unit of risk over similar time horizon. If you would invest 1,155 in Chemtrade Logistics Income on September 24, 2024 and sell it today you would lose (73.00) from holding Chemtrade Logistics Income or give up 6.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Keyera Corp vs. Chemtrade Logistics Income
Performance |
Timeline |
Keyera Corp |
Chemtrade Logistics |
Keyera Corp and Chemtrade Logistics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Keyera Corp and Chemtrade Logistics
The main advantage of trading using opposite Keyera Corp and Chemtrade Logistics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Keyera Corp position performs unexpectedly, Chemtrade Logistics 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 Chemtrade Logistics will offset losses from the drop in Chemtrade Logistics' long position.Keyera Corp vs. Pembina Pipeline Corp | Keyera Corp vs. Capital Power | Keyera Corp vs. AltaGas | Keyera Corp vs. Canadian Utilities Limited |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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