Correlation Between Aedas Homes and DFS Furniture
Can any of the company-specific risk be diversified away by investing in both Aedas Homes 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 Aedas Homes and DFS Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aedas Homes SA and DFS Furniture PLC, you can compare the effects of market volatilities on Aedas Homes 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 Aedas Homes with a short position of DFS Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aedas Homes and DFS Furniture.
Diversification Opportunities for Aedas Homes and DFS Furniture
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Aedas and DFS is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Aedas Homes SA 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 Aedas Homes 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 Aedas Homes SA 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 Aedas Homes i.e., Aedas Homes and DFS Furniture go up and down completely randomly.
Pair Corralation between Aedas Homes and DFS Furniture
Assuming the 90 days horizon Aedas Homes SA is expected to generate 0.93 times more return on investment than DFS Furniture. However, Aedas Homes SA is 1.08 times less risky than DFS Furniture. It trades about 0.3 of its potential returns per unit of risk. DFS Furniture PLC is currently generating about -0.13 per unit of risk. If you would invest 2,580 in Aedas Homes SA on November 6, 2024 and sell it today you would earn a total of 345.00 from holding Aedas Homes SA or generate 13.37% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Aedas Homes SA vs. DFS Furniture PLC
Performance |
| Timeline |
| Aedas Homes SA |
| DFS Furniture PLC |
Aedas Homes and DFS Furniture Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Aedas Homes and DFS Furniture
The main advantage of trading using opposite Aedas Homes and DFS Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aedas Homes 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.| Aedas Homes vs. Daito Trust Construction | Aedas Homes vs. Titan Machinery | Aedas Homes vs. FIRST SHIP LEASE | Aedas Homes vs. WIMFARM SA EO |
| DFS Furniture vs. KENEDIX OFFICE INV | DFS Furniture vs. Cal Maine Foods | DFS Furniture vs. Moneysupermarket Group PLC | DFS Furniture vs. CAL MAINE FOODS |
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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