Correlation Between Data Communications and Maple Leaf

Can any of the company-specific risk be diversified away by investing in both Data Communications 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 Data Communications and Maple Leaf into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Data Communications Management and Maple Leaf Foods, you can compare the effects of market volatilities on Data Communications 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 Data Communications with a short position of Maple Leaf. Check out your portfolio center. Please also check ongoing floating volatility patterns of Data Communications and Maple Leaf.

Diversification Opportunities for Data Communications and Maple Leaf

0.64

Correlation Coefficient

Data Communications  Maple Leaf

Poor diversification

The 3 months correlation between Data and Maple is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Data Communications Management 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 Data Communications 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 Data Communications Management 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 Data Communications i.e., Data Communications and Maple Leaf go up and down completely randomly.

Pair Corralation between Data Communications and Maple Leaf

Assuming the 90 days trading horizon Data Communications is expected to generate 1.02 times less return on investment than Maple Leaf. In addition to that, Data Communications is 2.7 times more volatile than Maple Leaf Foods. It trades about 0.09 of its total potential returns per unit of risk. Maple Leaf Foods is currently generating about 0.24 per unit of volatility. If you would invest  2,334  in Maple Leaf Foods on April 7, 2025 and sell it today you would earn a total of  531.00  from holding Maple Leaf Foods or generate 22.75% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Data Communications Management  vs.  Maple Leaf Foods

Data Communications

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Data Communications Management are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating primary indicators, Data Communications displayed solid returns over the last few months and may actually be approaching a breakup point.

Maple Leaf Foods

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Maple Leaf Foods are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating forward indicators, Maple Leaf displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Data Communications and Maple Leaf

The main advantage of trading using opposite Data Communications and Maple Leaf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Data Communications 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.

The idea behind Data Communications Management and Maple Leaf Foods 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.

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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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.