Correlation Between Great Lakes and Matrix Service
Can any of the company-specific risk be diversified away by investing in both Great Lakes and Matrix Service 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 Great Lakes and Matrix Service into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great Lakes Dredge and Matrix Service Co, you can compare the effects of market volatilities on Great Lakes and Matrix Service 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 Great Lakes with a short position of Matrix Service. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great Lakes and Matrix Service.
Diversification Opportunities for Great Lakes and Matrix Service
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Great and Matrix is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Great Lakes Dredge and Matrix Service Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matrix Service and Great Lakes 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 Great Lakes Dredge are associated (or correlated) with Matrix Service. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matrix Service has no effect on the direction of Great Lakes i.e., Great Lakes and Matrix Service go up and down completely randomly.
Pair Corralation between Great Lakes and Matrix Service
Given the investment horizon of 90 days Great Lakes Dredge is expected to under-perform the Matrix Service. In addition to that, Great Lakes is 1.16 times more volatile than Matrix Service Co. It trades about -0.09 of its total potential returns per unit of risk. Matrix Service Co is currently generating about 0.04 per unit of volatility. If you would invest 1,203 in Matrix Service Co on December 28, 2024 and sell it today you would earn a total of 50.00 from holding Matrix Service Co or generate 4.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Great Lakes Dredge vs. Matrix Service Co
Performance |
Timeline |
Great Lakes Dredge |
Matrix Service |
Great Lakes and Matrix Service Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great Lakes and Matrix Service
The main advantage of trading using opposite Great Lakes and Matrix Service positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great Lakes position performs unexpectedly, Matrix Service 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 Matrix Service will offset losses from the drop in Matrix Service's long position.Great Lakes vs. Primoris Services | Great Lakes vs. Granite Construction Incorporated | Great Lakes vs. MYR Group | Great Lakes vs. Southland Holdings |
Matrix Service vs. EMCOR Group | Matrix Service vs. Comfort Systems USA | Matrix Service vs. Primoris Services | Matrix Service vs. Granite Construction Incorporated |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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