Correlation Between DFS Furniture and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Uber Technologies 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 Uber Technologies 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 Uber Technologies, you can compare the effects of market volatilities on DFS Furniture and Uber Technologies 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 Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Uber Technologies.
Diversification Opportunities for DFS Furniture and Uber Technologies
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between DFS and Uber is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies 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 Uber Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uber Technologies has no effect on the direction of DFS Furniture i.e., DFS Furniture and Uber Technologies go up and down completely randomly.
Pair Corralation between DFS Furniture and Uber Technologies
Assuming the 90 days trading horizon DFS Furniture is expected to generate 5.09 times less return on investment than Uber Technologies. In addition to that, DFS Furniture is 1.05 times more volatile than Uber Technologies. It trades about 0.01 of its total potential returns per unit of risk. Uber Technologies is currently generating about 0.08 per unit of volatility. If you would invest 5,870 in Uber Technologies on December 20, 2024 and sell it today you would earn a total of 683.00 from holding Uber Technologies or generate 11.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DFS Furniture PLC vs. Uber Technologies
Performance |
Timeline |
DFS Furniture PLC |
Uber Technologies |
DFS Furniture and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DFS Furniture and Uber Technologies
The main advantage of trading using opposite DFS Furniture and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Uber Technologies 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 Uber Technologies will offset losses from the drop in Uber Technologies' long position.DFS Furniture vs. ANGANG STEEL H | DFS Furniture vs. Khiron Life Sciences | DFS Furniture vs. United States Steel | DFS Furniture vs. The Japan Steel |
Uber Technologies vs. Fuji Media Holdings | Uber Technologies vs. Samsung Electronics Co | Uber Technologies vs. Benchmark Electronics | Uber Technologies vs. XLMedia PLC |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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