Correlation Between DFS Furniture and Bellevue Healthcare
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Bellevue Healthcare 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 DFS Furniture and Bellevue Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DFS Furniture PLC and Bellevue Healthcare Trust, you can compare the effects of market volatilities on DFS Furniture and Bellevue Healthcare 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 DFS Furniture with a short position of Bellevue Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Bellevue Healthcare.
Diversification Opportunities for DFS Furniture and Bellevue Healthcare
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between DFS and Bellevue is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Bellevue Healthcare Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bellevue Healthcare Trust and DFS Furniture 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 DFS Furniture PLC are associated (or correlated) with Bellevue Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bellevue Healthcare Trust has no effect on the direction of DFS Furniture i.e., DFS Furniture and Bellevue Healthcare go up and down completely randomly.
Pair Corralation between DFS Furniture and Bellevue Healthcare
Assuming the 90 days trading horizon DFS Furniture PLC is expected to generate 1.55 times more return on investment than Bellevue Healthcare. However, DFS Furniture is 1.55 times more volatile than Bellevue Healthcare Trust. It trades about 0.27 of its potential returns per unit of risk. Bellevue Healthcare Trust is currently generating about 0.02 per unit of risk. If you would invest 13,050 in DFS Furniture PLC on April 20, 2025 and sell it today you would earn a total of 4,450 from holding DFS Furniture PLC or generate 34.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
DFS Furniture PLC vs. Bellevue Healthcare Trust
Performance |
Timeline |
DFS Furniture PLC |
Bellevue Healthcare Trust |
DFS Furniture and Bellevue Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DFS Furniture and Bellevue Healthcare
The main advantage of trading using opposite DFS Furniture and Bellevue Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Bellevue Healthcare 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 Bellevue Healthcare will offset losses from the drop in Bellevue Healthcare's long position.DFS Furniture vs. PureTech Health plc | DFS Furniture vs. Cardinal Health | DFS Furniture vs. Young Cos Brewery | DFS Furniture vs. Vitec Software 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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