Correlation Between Maple Leaf and Fidelity National
Can any of the company-specific risk be diversified away by investing in both Maple Leaf and Fidelity National 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 Fidelity National 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 Fidelity National Information, you can compare the effects of market volatilities on Maple Leaf and Fidelity National 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 Fidelity National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maple Leaf and Fidelity National.
Diversification Opportunities for Maple Leaf and Fidelity National
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Maple and Fidelity is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Maple Leaf Foods and Fidelity National Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity National 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 Fidelity National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity National has no effect on the direction of Maple Leaf i.e., Maple Leaf and Fidelity National go up and down completely randomly.
Pair Corralation between Maple Leaf and Fidelity National
Assuming the 90 days trading horizon Maple Leaf Foods is expected to generate 1.29 times more return on investment than Fidelity National. However, Maple Leaf is 1.29 times more volatile than Fidelity National Information. It trades about 0.19 of its potential returns per unit of risk. Fidelity National Information is currently generating about 0.0 per unit of risk. If you would invest 1,546 in Maple Leaf Foods on April 25, 2025 and sell it today you would earn a total of 324.00 from holding Maple Leaf Foods or generate 20.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Maple Leaf Foods vs. Fidelity National Information
Performance |
Timeline |
Maple Leaf Foods |
Fidelity National |
Maple Leaf and Fidelity National Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Maple Leaf and Fidelity National
The main advantage of trading using opposite Maple Leaf and Fidelity National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maple Leaf position performs unexpectedly, Fidelity National 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 Fidelity National will offset losses from the drop in Fidelity National's long position.Maple Leaf vs. Entravision Communications | Maple Leaf vs. Evolent Health | Maple Leaf vs. Phibro Animal Health | Maple Leaf vs. Wenzhou Kangning Hospital |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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