Correlation Between InterContinental and DISTRICT METALS
Can any of the company-specific risk be diversified away by investing in both InterContinental and DISTRICT METALS 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 DISTRICT METALS 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 DISTRICT METALS, you can compare the effects of market volatilities on InterContinental and DISTRICT METALS 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 DISTRICT METALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of InterContinental and DISTRICT METALS.
Diversification Opportunities for InterContinental and DISTRICT METALS
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between InterContinental and DISTRICT is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding InterContinental Hotels Group and DISTRICT METALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DISTRICT METALS 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 DISTRICT METALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DISTRICT METALS has no effect on the direction of InterContinental i.e., InterContinental and DISTRICT METALS go up and down completely randomly.
Pair Corralation between InterContinental and DISTRICT METALS
Assuming the 90 days trading horizon InterContinental is expected to generate 2.82 times less return on investment than DISTRICT METALS. But when comparing it to its historical volatility, InterContinental Hotels Group is 5.69 times less risky than DISTRICT METALS. It trades about 0.11 of its potential returns per unit of risk. DISTRICT METALS is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 12.00 in DISTRICT METALS on December 5, 2024 and sell it today you would earn a total of 10.00 from holding DISTRICT METALS or generate 83.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
InterContinental Hotels Group vs. DISTRICT METALS
Performance |
Timeline |
InterContinental Hotels |
DISTRICT METALS |
InterContinental and DISTRICT METALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with InterContinental and DISTRICT METALS
The main advantage of trading using opposite InterContinental and DISTRICT METALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InterContinental position performs unexpectedly, DISTRICT METALS 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 DISTRICT METALS will offset losses from the drop in DISTRICT METALS's long position.InterContinental vs. Cars Inc | InterContinental vs. SEKISUI CHEMICAL | InterContinental vs. National Beverage Corp | InterContinental vs. SCANSOURCE |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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