Correlation Between Vulcan Materials and Hyatt Hotels
Can any of the company-specific risk be diversified away by investing in both Vulcan Materials and Hyatt Hotels 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 Hyatt Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vulcan Materials and Hyatt Hotels, you can compare the effects of market volatilities on Vulcan Materials and Hyatt Hotels 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 Hyatt Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vulcan Materials and Hyatt Hotels.
Diversification Opportunities for Vulcan Materials and Hyatt Hotels
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Vulcan and Hyatt is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Vulcan Materials and Hyatt Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyatt Hotels 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 Hyatt Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyatt Hotels has no effect on the direction of Vulcan Materials i.e., Vulcan Materials and Hyatt Hotels go up and down completely randomly.
Pair Corralation between Vulcan Materials and Hyatt Hotels
Assuming the 90 days horizon Vulcan Materials is expected to generate 0.72 times more return on investment than Hyatt Hotels. However, Vulcan Materials is 1.39 times less risky than Hyatt Hotels. It trades about -0.12 of its potential returns per unit of risk. Hyatt Hotels is currently generating about -0.16 per unit of risk. If you would invest 24,944 in Vulcan Materials on December 29, 2024 and sell it today you would lose (3,144) from holding Vulcan Materials or give up 12.6% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Vulcan Materials vs. Hyatt Hotels
Performance |
Timeline |
Vulcan Materials |
Hyatt Hotels |
Vulcan Materials and Hyatt Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vulcan Materials and Hyatt Hotels
The main advantage of trading using opposite Vulcan Materials and Hyatt Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vulcan Materials position performs unexpectedly, Hyatt Hotels 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 Hyatt Hotels will offset losses from the drop in Hyatt Hotels' long position.Vulcan Materials vs. Fukuyama Transporting Co | Vulcan Materials vs. ARROW ELECTRONICS | Vulcan Materials vs. Liberty Broadband | Vulcan Materials vs. SAFEROADS HLDGS |
Hyatt Hotels vs. Marriott International | Hyatt Hotels vs. Hilton Worldwide Holdings | Hyatt Hotels vs. H World Group | Hyatt Hotels vs. InterContinental Hotels Group |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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