Correlation Between Dollarama and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both Dollarama and Burlington Stores 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 Dollarama and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dollarama and Burlington Stores, you can compare the effects of market volatilities on Dollarama and Burlington Stores 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 Dollarama with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dollarama and Burlington Stores.
Diversification Opportunities for Dollarama and Burlington Stores
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dollarama and Burlington is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Dollarama and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and Dollarama 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 Dollarama are associated (or correlated) with Burlington Stores. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Burlington Stores has no effect on the direction of Dollarama i.e., Dollarama and Burlington Stores go up and down completely randomly.
Pair Corralation between Dollarama and Burlington Stores
Assuming the 90 days horizon Dollarama is expected to under-perform the Burlington Stores. In addition to that, Dollarama is 1.02 times more volatile than Burlington Stores. It trades about -0.03 of its total potential returns per unit of risk. Burlington Stores is currently generating about 0.01 per unit of volatility. If you would invest 27,800 in Burlington Stores on November 1, 2024 and sell it today you would earn a total of 0.00 from holding Burlington Stores or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.24% |
| Values | Daily Returns |
Dollarama vs. Burlington Stores
Performance |
| Timeline |
| Dollarama |
| Burlington Stores |
Dollarama and Burlington Stores Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dollarama and Burlington Stores
The main advantage of trading using opposite Dollarama and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dollarama position performs unexpectedly, Burlington Stores 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 Burlington Stores will offset losses from the drop in Burlington Stores' long position.| Dollarama vs. Dairy Farm International | Dollarama vs. Algonquin Power Utilities | Dollarama vs. Tokyu Construction Co | Dollarama vs. Xiwang Special Steel |
| Burlington Stores vs. Apollo Medical Holdings | Burlington Stores vs. Autohome ADR | Burlington Stores vs. PEPTONIC MEDICAL | Burlington Stores vs. bet at home AG |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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