Correlation Between United States and InterContinental
Can any of the company-specific risk be diversified away by investing in both United States and InterContinental 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 United States and InterContinental into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United States Steel and InterContinental Hotels Group, you can compare the effects of market volatilities on United States and InterContinental 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 United States with a short position of InterContinental. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and InterContinental.
Diversification Opportunities for United States and InterContinental
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between United and InterContinental is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding United States Steel and InterContinental Hotels Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on InterContinental Hotels and United States 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 United States Steel are associated (or correlated) with InterContinental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of InterContinental Hotels has no effect on the direction of United States i.e., United States and InterContinental go up and down completely randomly.
Pair Corralation between United States and InterContinental
Assuming the 90 days trading horizon United States Steel is expected to generate 1.86 times more return on investment than InterContinental. However, United States is 1.86 times more volatile than InterContinental Hotels Group. It trades about 0.2 of its potential returns per unit of risk. InterContinental Hotels Group is currently generating about -0.19 per unit of risk. If you would invest 3,130 in United States Steel on December 29, 2024 and sell it today you would earn a total of 1,138 from holding United States Steel or generate 36.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
United States Steel vs. InterContinental Hotels Group
Performance |
Timeline |
United States Steel |
InterContinental Hotels |
United States and InterContinental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United States and InterContinental
The main advantage of trading using opposite United States and InterContinental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, InterContinental 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 InterContinental will offset losses from the drop in InterContinental's long position.United States vs. Universal Display Corp | United States vs. STMicroelectronics NV | United States vs. Prosiebensat 1 Media | United States vs. PPHE Hotel Group |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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