Correlation Between DFS Furniture and Canadian Natural
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Canadian Natural 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 Canadian Natural 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 Canadian Natural Resources, you can compare the effects of market volatilities on DFS Furniture and Canadian Natural 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 Canadian Natural. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Canadian Natural.
Diversification Opportunities for DFS Furniture and Canadian Natural
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DFS and Canadian is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Canadian Natural Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canadian Natural Res 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 Canadian Natural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canadian Natural Res has no effect on the direction of DFS Furniture i.e., DFS Furniture and Canadian Natural go up and down completely randomly.
Pair Corralation between DFS Furniture and Canadian Natural
Assuming the 90 days trading horizon DFS Furniture PLC is expected to generate 1.08 times more return on investment than Canadian Natural. However, DFS Furniture is 1.08 times more volatile than Canadian Natural Resources. It trades about 0.24 of its potential returns per unit of risk. Canadian Natural Resources is currently generating about 0.05 per unit of risk. If you would invest 147.00 in DFS Furniture PLC on April 21, 2025 and sell it today you would earn a total of 51.00 from holding DFS Furniture PLC or generate 34.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
DFS Furniture PLC vs. Canadian Natural Resources
Performance |
Timeline |
DFS Furniture PLC |
Canadian Natural Res |
DFS Furniture and Canadian Natural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DFS Furniture and Canadian Natural
The main advantage of trading using opposite DFS Furniture and Canadian Natural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Canadian Natural 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 Canadian Natural will offset losses from the drop in Canadian Natural's long position.DFS Furniture vs. China BlueChemical | DFS Furniture vs. Silicon Motion Technology | DFS Furniture vs. Sumitomo Chemical | DFS Furniture vs. PTT Global Chemical |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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