Correlation Between Argan and Everus Construction
Can any of the company-specific risk be diversified away by investing in both Argan and Everus Construction 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 Argan and Everus Construction into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Argan Inc and Everus Construction Group, you can compare the effects of market volatilities on Argan and Everus Construction 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 Argan with a short position of Everus Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Argan and Everus Construction.
Diversification Opportunities for Argan and Everus Construction
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Argan and Everus is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Argan Inc and Everus Construction Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Everus Construction and Argan 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 Argan Inc are associated (or correlated) with Everus Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Everus Construction has no effect on the direction of Argan i.e., Argan and Everus Construction go up and down completely randomly.
Pair Corralation between Argan and Everus Construction
Considering the 90-day investment horizon Argan Inc is expected to generate 1.01 times more return on investment than Everus Construction. However, Argan is 1.01 times more volatile than Everus Construction Group. It trades about -0.04 of its potential returns per unit of risk. Everus Construction Group is currently generating about -0.19 per unit of risk. If you would invest 13,864 in Argan Inc on December 28, 2024 and sell it today you would lose (2,341) from holding Argan Inc or give up 16.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Argan Inc vs. Everus Construction Group
Performance |
Timeline |
Argan Inc |
Everus Construction |
Argan and Everus Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Argan and Everus Construction
The main advantage of trading using opposite Argan and Everus Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Argan position performs unexpectedly, Everus Construction 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 Everus Construction will offset losses from the drop in Everus Construction's long position.Argan vs. Arcosa Inc | Argan vs. Construction Partners | Argan vs. Topbuild Corp | Argan vs. Comfort Systems USA |
Everus Construction vs. Regeneron Pharmaceuticals | Everus Construction vs. Cardinal Health | Everus Construction vs. Spyre Therapeutics | Everus Construction vs. Clearmind Medicine Common |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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