Correlation Between Maple Leaf and Data Communications

Can any of the company-specific risk be diversified away by investing in both Maple Leaf and Data Communications 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 Data Communications 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 Data Communications Management, you can compare the effects of market volatilities on Maple Leaf and Data Communications 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 Data Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Maple Leaf and Data Communications.

Diversification Opportunities for Maple Leaf and Data Communications

0.06

Correlation Coefficient

Maple Leaf  Data Communications

Significant diversification

The 3 months correlation between Maple and Data is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Maple Leaf Foods and Data Communications Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Communications 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 Data Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Communications has no effect on the direction of Maple Leaf i.e., Maple Leaf and Data Communications go up and down completely randomly.

Pair Corralation between Maple Leaf and Data Communications

Assuming the 90 days trading horizon Maple Leaf Foods is expected to generate 0.73 times more return on investment than Data Communications. However, Maple Leaf Foods is 1.37 times less risky than Data Communications. It trades about 0.24 of its potential returns per unit of risk. Data Communications Management is currently generating about 0.01 per unit of risk. If you would invest  2,036  in Maple Leaf Foods on December 2, 2024 and sell it today you would earn a total of  510.00  from holding Maple Leaf Foods or generate 25.05% 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.  Data Communications Management

Maple Leaf Foods

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Maple Leaf Foods are ranked lower than 8 (%) 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.

Data Communications

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Data Communications Management are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating primary indicators, Data Communications may actually be approaching a critical reversion point that can send shares even higher in April 2025.

Pair Trading with Maple Leaf and Data Communications

The main advantage of trading using opposite Maple Leaf and Data Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Maple Leaf position performs unexpectedly, Data Communications 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 Data Communications will offset losses from the drop in Data Communications' long position.

The idea behind Maple Leaf Foods and Data Communications Management 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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.