Correlation Between Fairfax Financial and Maple Leaf
Can any of the company-specific risk be diversified away by investing in both Fairfax Financial 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 Fairfax Financial and Maple Leaf into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fairfax Financial Holdings and Maple Leaf Foods, you can compare the effects of market volatilities on Fairfax Financial 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 Fairfax Financial with a short position of Maple Leaf. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fairfax Financial and Maple Leaf.
Diversification Opportunities for Fairfax Financial and Maple Leaf
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Fairfax and Maple is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Fairfax Financial Holdings 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 Fairfax Financial 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 Fairfax Financial Holdings 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 Fairfax Financial i.e., Fairfax Financial and Maple Leaf go up and down completely randomly.
Pair Corralation between Fairfax Financial and Maple Leaf
Assuming the 90 days trading horizon Fairfax Financial Holdings is expected to generate 0.56 times more return on investment than Maple Leaf. However, Fairfax Financial Holdings is 1.8 times less risky than Maple Leaf. It trades about 0.13 of its potential returns per unit of risk. Maple Leaf Foods is currently generating about -0.03 per unit of risk. If you would invest 2,225 in Fairfax Financial Holdings on September 20, 2024 and sell it today you would earn a total of 162.00 from holding Fairfax Financial Holdings or generate 7.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fairfax Financial Holdings vs. Maple Leaf Foods
Performance |
Timeline |
Fairfax Financial |
Maple Leaf Foods |
Fairfax Financial and Maple Leaf Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fairfax Financial and Maple Leaf
The main advantage of trading using opposite Fairfax Financial and Maple Leaf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fairfax Financial 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.Fairfax Financial vs. Jamieson Wellness | Fairfax Financial vs. Leveljump Healthcare Corp | Fairfax Financial vs. iSign Media Solutions | Fairfax Financial vs. Nova Leap Health |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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