Correlation Between Data Communications and McEwen Mining

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

Diversification Opportunities for Data Communications and McEwen Mining

0.15

Correlation Coefficient

Data Communications  McEwen Mining

Average diversification

The 3 months correlation between Data and McEwen is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Data Communications Management and McEwen Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on McEwen Mining 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 McEwen Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of McEwen Mining has no effect on the direction of Data Communications i.e., Data Communications and McEwen Mining go up and down completely randomly.

Pair Corralation between Data Communications and McEwen Mining

Assuming the 90 days trading horizon Data Communications is expected to generate 12.38 times less return on investment than McEwen Mining. In addition to that, Data Communications is 1.13 times more volatile than McEwen Mining. It trades about 0.01 of its total potential returns per unit of risk. McEwen Mining is currently generating about 0.16 per unit of volatility. If you would invest  1,116  in McEwen Mining on April 20, 2025 and sell it today you would earn a total of  387.00  from holding McEwen Mining or generate 34.68% return on investment over 90 days.

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

Data Communications Management  vs.  McEwen Mining

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.

McEwen Mining

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in McEwen Mining are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of very abnormal basic indicators, McEwen Mining displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Data Communications and McEwen Mining

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

The idea behind Data Communications Management and McEwen Mining 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.