Correlation Between Linamar and Chemtrade Logistics
Can any of the company-specific risk be diversified away by investing in both Linamar 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 Linamar and Chemtrade Logistics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Linamar and Chemtrade Logistics Income, you can compare the effects of market volatilities on Linamar 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 Linamar with a short position of Chemtrade Logistics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Linamar and Chemtrade Logistics.
Diversification Opportunities for Linamar and Chemtrade Logistics
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Linamar and Chemtrade is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Linamar and Chemtrade Logistics Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chemtrade Logistics and Linamar 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 Linamar 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 Linamar i.e., Linamar and Chemtrade Logistics go up and down completely randomly.
Pair Corralation between Linamar and Chemtrade Logistics
Assuming the 90 days trading horizon Linamar is expected to under-perform the Chemtrade Logistics. In addition to that, Linamar is 1.36 times more volatile than Chemtrade Logistics Income. It trades about -0.05 of its total potential returns per unit of risk. Chemtrade Logistics Income is currently generating about 0.14 per unit of volatility. If you would invest 886.00 in Chemtrade Logistics Income on September 24, 2024 and sell it today you would earn a total of 196.00 from holding Chemtrade Logistics Income or generate 22.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Linamar vs. Chemtrade Logistics Income
Performance |
Timeline |
Linamar |
Chemtrade Logistics |
Linamar and Chemtrade Logistics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Linamar and Chemtrade Logistics
The main advantage of trading using opposite Linamar and Chemtrade Logistics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Linamar 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.Linamar vs. Martinrea International | Linamar vs. Magna International | Linamar vs. CCL Industries | Linamar vs. Stella Jones |
Chemtrade Logistics vs. Finning International | Chemtrade Logistics vs. Keyera Corp | Chemtrade Logistics vs. Linamar | Chemtrade Logistics vs. Russel Metals |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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