Correlation Between Summit Materials and Vulcan Materials
Can any of the company-specific risk be diversified away by investing in both Summit Materials and Vulcan Materials 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 Summit Materials and Vulcan Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Summit Materials and Vulcan Materials, you can compare the effects of market volatilities on Summit Materials and Vulcan Materials 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 Summit Materials with a short position of Vulcan Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Summit Materials and Vulcan Materials.
Diversification Opportunities for Summit Materials and Vulcan Materials
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Summit and Vulcan is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Summit Materials and Vulcan Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vulcan Materials and Summit Materials 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 Summit Materials are associated (or correlated) with Vulcan Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vulcan Materials has no effect on the direction of Summit Materials i.e., Summit Materials and Vulcan Materials go up and down completely randomly.
Pair Corralation between Summit Materials and Vulcan Materials
Assuming the 90 days trading horizon Summit Materials is expected to generate 0.57 times more return on investment than Vulcan Materials. However, Summit Materials is 1.76 times less risky than Vulcan Materials. It trades about 0.12 of its potential returns per unit of risk. Vulcan Materials is currently generating about -0.17 per unit of risk. If you would invest 4,840 in Summit Materials on December 1, 2024 and sell it today you would earn a total of 210.00 from holding Summit Materials or generate 4.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 80.0% |
Values | Daily Returns |
Summit Materials vs. Vulcan Materials
Performance |
Timeline |
Summit Materials |
Risk-Adjusted Performance
OK
Weak | Strong |
Vulcan Materials |
Summit Materials and Vulcan Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Summit Materials and Vulcan Materials
The main advantage of trading using opposite Summit Materials and Vulcan Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Summit Materials position performs unexpectedly, Vulcan Materials 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 Vulcan Materials will offset losses from the drop in Vulcan Materials' long position.Summit Materials vs. Perdoceo Education | Summit Materials vs. Hemisphere Energy Corp | Summit Materials vs. Spirent Communications plc | Summit Materials vs. China Communications Construction |
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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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