Correlation Between Vulcan Materials and IACInterActiveCorp
Can any of the company-specific risk be diversified away by investing in both Vulcan Materials and IACInterActiveCorp 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 Vulcan Materials and IACInterActiveCorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vulcan Materials and IACInterActiveCorp, you can compare the effects of market volatilities on Vulcan Materials and IACInterActiveCorp 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 Vulcan Materials with a short position of IACInterActiveCorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vulcan Materials and IACInterActiveCorp.
Diversification Opportunities for Vulcan Materials and IACInterActiveCorp
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Vulcan and IACInterActiveCorp is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Vulcan Materials and IACInterActiveCorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IACInterActiveCorp and Vulcan 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 Vulcan Materials are associated (or correlated) with IACInterActiveCorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IACInterActiveCorp has no effect on the direction of Vulcan Materials i.e., Vulcan Materials and IACInterActiveCorp go up and down completely randomly.
Pair Corralation between Vulcan Materials and IACInterActiveCorp
Assuming the 90 days trading horizon Vulcan Materials is expected to generate 1.34 times more return on investment than IACInterActiveCorp. However, Vulcan Materials is 1.34 times more volatile than IACInterActiveCorp. It trades about 0.02 of its potential returns per unit of risk. IACInterActiveCorp is currently generating about 0.02 per unit of risk. If you would invest 2,327 in Vulcan Materials on April 25, 2025 and sell it today you would earn a total of 25.00 from holding Vulcan Materials or generate 1.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Vulcan Materials vs. IACInterActiveCorp
Performance |
Timeline |
Vulcan Materials |
IACInterActiveCorp |
Vulcan Materials and IACInterActiveCorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vulcan Materials and IACInterActiveCorp
The main advantage of trading using opposite Vulcan Materials and IACInterActiveCorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vulcan Materials position performs unexpectedly, IACInterActiveCorp 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 IACInterActiveCorp will offset losses from the drop in IACInterActiveCorp's long position.Vulcan Materials vs. Ameriprise Financial | Vulcan Materials vs. KB Financial Group | Vulcan Materials vs. The Hartford Financial | Vulcan Materials vs. Marfrig Global Foods |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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