Correlation Between InterContinental and DFS Furniture
Can any of the company-specific risk be diversified away by investing in both InterContinental and DFS Furniture 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 DFS Furniture 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 DFS Furniture PLC, you can compare the effects of market volatilities on InterContinental and DFS Furniture 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 DFS Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of InterContinental and DFS Furniture.
Diversification Opportunities for InterContinental and DFS Furniture
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between InterContinental and DFS is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding InterContinental Hotels Group and DFS Furniture PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DFS Furniture PLC 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 DFS Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DFS Furniture PLC has no effect on the direction of InterContinental i.e., InterContinental and DFS Furniture go up and down completely randomly.
Pair Corralation between InterContinental and DFS Furniture
Assuming the 90 days trading horizon InterContinental Hotels Group is expected to generate 0.3 times more return on investment than DFS Furniture. However, InterContinental Hotels Group is 3.32 times less risky than DFS Furniture. It trades about -0.1 of its potential returns per unit of risk. DFS Furniture PLC is currently generating about -0.15 per unit of risk. If you would invest 12,000 in InterContinental Hotels Group on October 16, 2024 and sell it today you would lose (200.00) from holding InterContinental Hotels Group or give up 1.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.12% |
Values | Daily Returns |
InterContinental Hotels Group vs. DFS Furniture PLC
Performance |
Timeline |
InterContinental Hotels |
DFS Furniture PLC |
InterContinental and DFS Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with InterContinental and DFS Furniture
The main advantage of trading using opposite InterContinental and DFS Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InterContinental position performs unexpectedly, DFS Furniture 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 DFS Furniture will offset losses from the drop in DFS Furniture's long position.InterContinental vs. Sims Metal Management | InterContinental vs. PLAYSTUDIOS A DL 0001 | InterContinental vs. CeoTronics AG | InterContinental vs. USWE SPORTS AB |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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