Correlation Between Maple Leaf and Solid Impact
Can any of the company-specific risk be diversified away by investing in both Maple Leaf and Solid Impact 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 Maple Leaf and Solid Impact into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Maple Leaf Foods and Solid Impact Investments, you can compare the effects of market volatilities on Maple Leaf and Solid Impact 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 Maple Leaf with a short position of Solid Impact. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maple Leaf and Solid Impact.
Diversification Opportunities for Maple Leaf and Solid Impact
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Maple and Solid is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Maple Leaf Foods and Solid Impact Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solid Impact Investments and Maple Leaf 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 Maple Leaf Foods are associated (or correlated) with Solid Impact. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solid Impact Investments has no effect on the direction of Maple Leaf i.e., Maple Leaf and Solid Impact go up and down completely randomly.
Pair Corralation between Maple Leaf and Solid Impact
Assuming the 90 days trading horizon Maple Leaf Foods is expected to generate 0.65 times more return on investment than Solid Impact. However, Maple Leaf Foods is 1.55 times less risky than Solid Impact. It trades about -0.01 of its potential returns per unit of risk. Solid Impact Investments is currently generating about -0.05 per unit of risk. If you would invest 2,354 in Maple Leaf Foods on October 11, 2024 and sell it today you would lose (345.00) from holding Maple Leaf Foods or give up 14.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Maple Leaf Foods vs. Solid Impact Investments
Performance |
Timeline |
Maple Leaf Foods |
Solid Impact Investments |
Maple Leaf and Solid Impact Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maple Leaf and Solid Impact
The main advantage of trading using opposite Maple Leaf and Solid Impact positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maple Leaf position performs unexpectedly, Solid Impact 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 Solid Impact will offset losses from the drop in Solid Impact's long position.Maple Leaf vs. Saputo Inc | Maple Leaf vs. George Weston Limited | Maple Leaf vs. Empire Company Limited | Maple Leaf vs. Premium Brands Holdings |
Solid Impact vs. Upstart Investments | Solid Impact vs. CNJ Capital Investments | Solid Impact vs. Slate Grocery REIT | Solid Impact vs. NorthWest Healthcare Properties |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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