Correlation Between DFS Furniture and Dow Jones
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Dow Jones 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 Dow Jones 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 Dow Jones Industrial, you can compare the effects of market volatilities on DFS Furniture and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Dow Jones.
Diversification Opportunities for DFS Furniture and Dow Jones
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DFS and Dow is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of DFS Furniture i.e., DFS Furniture and Dow Jones go up and down completely randomly.
Pair Corralation between DFS Furniture and Dow Jones
Assuming the 90 days trading horizon DFS Furniture PLC is expected to generate 2.93 times more return on investment than Dow Jones. However, DFS Furniture is 2.93 times more volatile than Dow Jones Industrial. It trades about 0.12 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.2 per unit of risk. If you would invest 139.00 in DFS Furniture PLC on September 3, 2024 and sell it today you would earn a total of 23.00 from holding DFS Furniture PLC or generate 16.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
DFS Furniture PLC vs. Dow Jones Industrial
Performance |
Timeline |
DFS Furniture and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
DFS Furniture PLC
Pair trading matchups for DFS Furniture
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with DFS Furniture and Dow Jones
The main advantage of trading using opposite DFS Furniture and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.DFS Furniture vs. ASURE SOFTWARE | DFS Furniture vs. Magic Software Enterprises | DFS Furniture vs. Axway Software SA | DFS Furniture vs. Lion Biotechnologies |
Dow Jones vs. Eastern Co | Dow Jones vs. Uber Technologies | Dow Jones vs. AKITA Drilling | Dow Jones vs. Chemours Co |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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