Correlation Between Loblaw Companies and Empire Company
Can any of the company-specific risk be diversified away by investing in both Loblaw Companies and Empire Company 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 Empire Company into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Loblaw Companies and Empire Company Limited, you can compare the effects of market volatilities on Loblaw Companies and Empire Company 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 Empire Company. Check out your portfolio center. Please also check ongoing floating volatility patterns of Loblaw Companies and Empire Company.
Diversification Opportunities for Loblaw Companies and Empire Company
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Loblaw and Empire is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Loblaw Companies and Empire Company Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Empire Limited 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 are associated (or correlated) with Empire Company. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Empire Limited has no effect on the direction of Loblaw Companies i.e., Loblaw Companies and Empire Company go up and down completely randomly.
Pair Corralation between Loblaw Companies and Empire Company
Assuming the 90 days trading horizon Loblaw Companies is expected to under-perform the Empire Company. But the preferred stock apears to be less risky and, when comparing its historical volatility, Loblaw Companies is 2.29 times less risky than Empire Company. The preferred stock trades about -0.1 of its potential returns per unit of risk. The Empire Company Limited is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 3,771 in Empire Company Limited on August 31, 2024 and sell it today you would earn a total of 454.00 from holding Empire Company Limited or generate 12.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Loblaw Companies vs. Empire Company Limited
Performance |
Timeline |
Loblaw Companies |
Empire Limited |
Loblaw Companies and Empire Company Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Loblaw Companies and Empire Company
The main advantage of trading using opposite Loblaw Companies and Empire Company positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Loblaw Companies position performs unexpectedly, Empire Company 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 Empire Company will offset losses from the drop in Empire Company's long position.Loblaw Companies vs. George Weston Prf | Loblaw Companies vs. George Weston Ser | Loblaw Companies vs. George Weston 520 | Loblaw Companies vs. George Weston 475 |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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