Correlation Between DFS Furniture and Premier Foods
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Premier Foods 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 Premier Foods 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 Premier Foods PLC, you can compare the effects of market volatilities on DFS Furniture and Premier Foods 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 Premier Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Premier Foods.
Diversification Opportunities for DFS Furniture and Premier Foods
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DFS and Premier is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Premier Foods PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Premier Foods PLC 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 Premier Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Premier Foods PLC has no effect on the direction of DFS Furniture i.e., DFS Furniture and Premier Foods go up and down completely randomly.
Pair Corralation between DFS Furniture and Premier Foods
Assuming the 90 days trading horizon DFS Furniture PLC is expected to generate 1.54 times more return on investment than Premier Foods. However, DFS Furniture is 1.54 times more volatile than Premier Foods PLC. It trades about 0.01 of its potential returns per unit of risk. Premier Foods PLC is currently generating about -0.04 per unit of risk. If you would invest 13,500 in DFS Furniture PLC on August 26, 2024 and sell it today you would earn a total of 0.00 from holding DFS Furniture PLC or generate 0.0% 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. Premier Foods PLC
Performance |
| Timeline |
| DFS Furniture PLC |
| Premier Foods PLC |
DFS Furniture and Premier Foods Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with DFS Furniture and Premier Foods
The main advantage of trading using opposite DFS Furniture and Premier Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Premier Foods 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 Premier Foods will offset losses from the drop in Premier Foods' long position.| DFS Furniture vs. Rockfire Resources plc | DFS Furniture vs. Tlou Energy | DFS Furniture vs. Ikigai Ventures | DFS Furniture vs. Falcon Oil Gas |
| Premier Foods vs. Walmart | Premier Foods vs. BYD Co | Premier Foods vs. Volkswagen AG Non Vtg | Premier Foods vs. Deutsche Post AG |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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