Correlation Between Maple Leaf and DAX Index
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By analyzing existing cross correlation between Maple Leaf Foods and DAX Index, you can compare the effects of market volatilities on Maple Leaf and DAX Index 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 DAX Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maple Leaf and DAX Index.
Diversification Opportunities for Maple Leaf and DAX Index
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Maple and DAX is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Maple Leaf Foods and DAX Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAX Index 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 DAX Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX Index has no effect on the direction of Maple Leaf i.e., Maple Leaf and DAX Index go up and down completely randomly.
Pair Corralation between Maple Leaf and DAX Index
Assuming the 90 days trading horizon Maple Leaf is expected to generate 2.55 times less return on investment than DAX Index. In addition to that, Maple Leaf is 2.89 times more volatile than DAX Index. It trades about 0.08 of its total potential returns per unit of risk. DAX Index is currently generating about 0.57 per unit of volatility. If you would invest 2,002,466 in DAX Index on November 3, 2024 and sell it today you would earn a total of 170,739 from holding DAX Index or generate 8.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Maple Leaf Foods vs. DAX Index
Performance |
Timeline |
Maple Leaf and DAX Index Volatility Contrast
Predicted Return Density |
Returns |
Maple Leaf Foods
Pair trading matchups for Maple Leaf
DAX Index
Pair trading matchups for DAX Index
Pair Trading with Maple Leaf and DAX Index
The main advantage of trading using opposite Maple Leaf and DAX Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maple Leaf position performs unexpectedly, DAX Index 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 DAX Index will offset losses from the drop in DAX Index's long position.Maple Leaf vs. NTT DATA | Maple Leaf vs. DATATEC LTD 2 | Maple Leaf vs. Linedata Services SA | Maple Leaf vs. Northern Data AG |
DAX Index vs. BOS BETTER ONLINE | DAX Index vs. CODERE ONLINE LUX | DAX Index vs. Aegean Airlines SA | DAX Index vs. China Eastern Airlines |
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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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