Correlation Between Agrify Corp and Matrix Service
Can any of the company-specific risk be diversified away by investing in both Agrify Corp 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 Agrify Corp and Matrix Service into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agrify Corp and Matrix Service Co, you can compare the effects of market volatilities on Agrify Corp 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 Agrify Corp with a short position of Matrix Service. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agrify Corp and Matrix Service.
Diversification Opportunities for Agrify Corp and Matrix Service
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Agrify and Matrix is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Agrify Corp and Matrix Service Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matrix Service and Agrify Corp 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 Agrify Corp 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 Agrify Corp i.e., Agrify Corp and Matrix Service go up and down completely randomly.
Pair Corralation between Agrify Corp and Matrix Service
Given the investment horizon of 90 days Agrify Corp is expected to generate 5.21 times more return on investment than Matrix Service. However, Agrify Corp is 5.21 times more volatile than Matrix Service Co. It trades about 0.33 of its potential returns per unit of risk. Matrix Service Co is currently generating about 0.18 per unit of risk. If you would invest 354.00 in Agrify Corp on September 2, 2024 and sell it today you would earn a total of 5,321 from holding Agrify Corp or generate 1503.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Agrify Corp vs. Matrix Service Co
Performance |
Timeline |
Agrify Corp |
Matrix Service |
Agrify Corp and Matrix Service Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agrify Corp and Matrix Service
The main advantage of trading using opposite Agrify Corp and Matrix Service positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agrify Corp 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.Agrify Corp vs. MYR Group | Agrify Corp vs. Granite Construction Incorporated | Agrify Corp vs. Construction Partners | Agrify Corp vs. Great Lakes Dredge |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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