Correlation Between A W and Data Communications

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

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

Diversification Opportunities for A W and Data Communications

0.25

Correlation Coefficient

A W  Data Communications

Modest diversification

The 3 months correlation between A W and Data is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding A W FOOD and Data Communications Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Communications and A W 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 A W FOOD 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 A W i.e., A W and Data Communications go up and down completely randomly.

Pair Corralation between A W and Data Communications

Assuming the 90 days horizon A W FOOD is expected to generate 0.35 times more return on investment than Data Communications. However, A W FOOD is 2.86 times less risky than Data Communications. It trades about 0.31 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  3,089  in A W FOOD on April 20, 2025 and sell it today you would earn a total of  834.00  from holding A W FOOD or generate 27.0% return on investment over 90 days.

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

A W FOOD  vs.  Data Communications Management

A W FOOD

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in A W FOOD are ranked lower than 24 (%) of all global equities and portfolios over the last 90 days. In spite of very abnormal basic indicators, A W displayed solid returns over the last few months and may actually be approaching a breakup point.

Data Communications

Risk-Adjusted Performance

Very Weak

Over the last 90 days Data Communications Management has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy primary indicators, Data Communications is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with A W and Data Communications

The main advantage of trading using opposite A W and Data Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if A W 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 A W FOOD 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..