Correlation Between Loblaw Companies and Nutrien
Can any of the company-specific risk be diversified away by investing in both Loblaw Companies and Nutrien 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 Loblaw Companies and Nutrien into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loblaw Companies Limited and Nutrien, you can compare the effects of market volatilities on Loblaw Companies and Nutrien 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 Loblaw Companies with a short position of Nutrien. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loblaw Companies and Nutrien.
Diversification Opportunities for Loblaw Companies and Nutrien
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Loblaw and Nutrien is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Loblaw Companies Limited and Nutrien in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nutrien and Loblaw Companies 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 Loblaw Companies Limited are associated (or correlated) with Nutrien. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nutrien has no effect on the direction of Loblaw Companies i.e., Loblaw Companies and Nutrien go up and down completely randomly.
Pair Corralation between Loblaw Companies and Nutrien
Given the investment horizon of 90 days Loblaw Companies is expected to generate 2.56 times less return on investment than Nutrien. But when comparing it to its historical volatility, Loblaw Companies Limited is 1.52 times less risky than Nutrien. It trades about 0.07 of its potential returns per unit of risk. Nutrien is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 6,291 in Nutrien on December 30, 2024 and sell it today you would earn a total of 883.00 from holding Nutrien or generate 14.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Loblaw Companies Limited vs. Nutrien
Performance |
Timeline |
Loblaw Companies |
Nutrien |
Loblaw Companies and Nutrien Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loblaw Companies and Nutrien
The main advantage of trading using opposite Loblaw Companies and Nutrien positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loblaw Companies position performs unexpectedly, Nutrien 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 Nutrien will offset losses from the drop in Nutrien's long position.Loblaw Companies vs. Metro Inc | Loblaw Companies vs. George Weston Limited | Loblaw Companies vs. Canadian Tire | Loblaw Companies vs. Dollarama |
Nutrien vs. Data Communications Management | Nutrien vs. Computer Modelling Group | Nutrien vs. Flow Beverage Corp | Nutrien vs. Cogeco Communications |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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