Correlation Between DFS Furniture and Check Point
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Check Point 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 Check Point 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 Check Point Software, you can compare the effects of market volatilities on DFS Furniture and Check Point 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 Check Point. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Check Point.
Diversification Opportunities for DFS Furniture and Check Point
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between DFS and Check is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software 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 Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of DFS Furniture i.e., DFS Furniture and Check Point go up and down completely randomly.
Pair Corralation between DFS Furniture and Check Point
Assuming the 90 days trading horizon DFS Furniture PLC is expected to generate 0.73 times more return on investment than Check Point. However, DFS Furniture PLC is 1.38 times less risky than Check Point. It trades about 0.05 of its potential returns per unit of risk. Check Point Software is currently generating about -0.05 per unit of risk. If you would invest 16,000 in DFS Furniture PLC on September 15, 2025 and sell it today you would earn a total of 200.00 from holding DFS Furniture PLC or generate 1.25% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
DFS Furniture PLC vs. Check Point Software
Performance |
| Timeline |
| DFS Furniture PLC |
| Check Point Software |
DFS Furniture and Check Point Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DFS Furniture and Check Point
The main advantage of trading using opposite DFS Furniture and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Check Point 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 Check Point will offset losses from the drop in Check Point's long position.| DFS Furniture vs. Pan American Silver | DFS Furniture vs. TechnipFMC PLC | DFS Furniture vs. Griffin Mining | DFS Furniture vs. Ashtead Technology Holdings |
| Check Point vs. Toyota Motor Corp | Check Point vs. SoftBank Group Corp | Check Point vs. Cheniere Energy | Check Point vs. IDEXX Laboratories |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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