Correlation Between InterContinental and BJs Wholesale
Can any of the company-specific risk be diversified away by investing in both InterContinental and BJs Wholesale 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 InterContinental and BJs Wholesale into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between InterContinental Hotels Group and BJs Wholesale Club, you can compare the effects of market volatilities on InterContinental and BJs Wholesale 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 InterContinental with a short position of BJs Wholesale. Check out your portfolio center. Please also check ongoing floating volatility patterns of InterContinental and BJs Wholesale.
Diversification Opportunities for InterContinental and BJs Wholesale
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between InterContinental and BJs is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding InterContinental Hotels Group and BJs Wholesale Club in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BJs Wholesale Club and InterContinental 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 InterContinental Hotels Group are associated (or correlated) with BJs Wholesale. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BJs Wholesale Club has no effect on the direction of InterContinental i.e., InterContinental and BJs Wholesale go up and down completely randomly.
Pair Corralation between InterContinental and BJs Wholesale
Assuming the 90 days trading horizon InterContinental Hotels Group is expected to generate 0.83 times more return on investment than BJs Wholesale. However, InterContinental Hotels Group is 1.21 times less risky than BJs Wholesale. It trades about 0.1 of its potential returns per unit of risk. BJs Wholesale Club is currently generating about 0.05 per unit of risk. If you would invest 6,244 in InterContinental Hotels Group on October 11, 2024 and sell it today you would earn a total of 5,556 from holding InterContinental Hotels Group or generate 88.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
InterContinental Hotels Group vs. BJs Wholesale Club
Performance |
Timeline |
InterContinental Hotels |
BJs Wholesale Club |
InterContinental and BJs Wholesale Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with InterContinental and BJs Wholesale
The main advantage of trading using opposite InterContinental and BJs Wholesale positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InterContinental position performs unexpectedly, BJs Wholesale 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 BJs Wholesale will offset losses from the drop in BJs Wholesale's long position.InterContinental vs. Host Hotels Resorts | InterContinental vs. Choice Hotels International | InterContinental vs. Khiron Life Sciences | InterContinental vs. ALGOMA STEEL 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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