Correlation Between Constellation Software and Maple Leaf
Can any of the company-specific risk be diversified away by investing in both Constellation Software and Maple Leaf 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 Constellation Software and Maple Leaf into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Constellation Software and Maple Leaf Foods, you can compare the effects of market volatilities on Constellation Software and Maple Leaf 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 Constellation Software with a short position of Maple Leaf. Check out your portfolio center. Please also check ongoing floating volatility patterns of Constellation Software and Maple Leaf.
Diversification Opportunities for Constellation Software and Maple Leaf
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Constellation and Maple is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Constellation Software and Maple Leaf Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maple Leaf Foods and Constellation Software 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 Constellation Software are associated (or correlated) with Maple Leaf. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maple Leaf Foods has no effect on the direction of Constellation Software i.e., Constellation Software and Maple Leaf go up and down completely randomly.
Pair Corralation between Constellation Software and Maple Leaf
Assuming the 90 days trading horizon Constellation Software is expected to under-perform the Maple Leaf. In addition to that, Constellation Software is 1.04 times more volatile than Maple Leaf Foods. It trades about -0.07 of its total potential returns per unit of risk. Maple Leaf Foods is currently generating about 0.24 per unit of volatility. If you would invest 2,470 in Maple Leaf Foods on May 2, 2025 and sell it today you would earn a total of 454.00 from holding Maple Leaf Foods or generate 18.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Constellation Software vs. Maple Leaf Foods
Performance |
Timeline |
Constellation Software |
Maple Leaf Foods |
Constellation Software and Maple Leaf Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Constellation Software and Maple Leaf
The main advantage of trading using opposite Constellation Software and Maple Leaf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Constellation Software position performs unexpectedly, Maple Leaf 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 Maple Leaf will offset losses from the drop in Maple Leaf's long position.Constellation Software vs. Kinaxis | Constellation Software vs. Open Text Corp | Constellation Software vs. Enghouse Systems | Constellation Software vs. CGI Inc |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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