Correlation Between Marriott International and Ballantyne Strong
Can any of the company-specific risk be diversified away by investing in both Marriott International and Ballantyne Strong 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 Marriott International and Ballantyne Strong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marriott International and Ballantyne Strong, you can compare the effects of market volatilities on Marriott International and Ballantyne Strong 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 Marriott International with a short position of Ballantyne Strong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marriott International and Ballantyne Strong.
Diversification Opportunities for Marriott International and Ballantyne Strong
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Marriott and Ballantyne is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Marriott International and Ballantyne Strong in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ballantyne Strong and Marriott International 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 Marriott International are associated (or correlated) with Ballantyne Strong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ballantyne Strong has no effect on the direction of Marriott International i.e., Marriott International and Ballantyne Strong go up and down completely randomly.
Pair Corralation between Marriott International and Ballantyne Strong
If you would invest 265.00 in Ballantyne Strong on October 3, 2024 and sell it today you would earn a total of 0.00 from holding Ballantyne Strong or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 4.76% |
Values | Daily Returns |
Marriott International vs. Ballantyne Strong
Performance |
Timeline |
Marriott International |
Ballantyne Strong |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Marriott International and Ballantyne Strong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marriott International and Ballantyne Strong
The main advantage of trading using opposite Marriott International and Ballantyne Strong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marriott International position performs unexpectedly, Ballantyne Strong 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 Ballantyne Strong will offset losses from the drop in Ballantyne Strong's long position.Marriott International vs. Hyatt Hotels | Marriott International vs. InterContinental Hotels Group | Marriott International vs. Choice Hotels International | Marriott International vs. Wyndham Hotels Resorts |
Ballantyne Strong vs. Amkor Technology | Ballantyne Strong vs. Kulicke and Soffa | Ballantyne Strong vs. Garmin | Ballantyne Strong vs. ClearOne |
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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