Correlation Between Maple Leaf and DAX Index

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Maple Leaf and DAX Index 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 DAX Index 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 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.
    Optimize

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 Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Maple Leaf Foods  vs.  DAX Index

 Performance 
       Timeline  

Maple Leaf and DAX Index Volatility Contrast

   Predicted Return Density   
       Returns  

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.
The idea behind Maple Leaf Foods and DAX Index pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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.

Other Complementary Tools

Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Global Markets Map
Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings