Correlation Between Arrow Electronics and DFS Furniture
Can any of the company-specific risk be diversified away by investing in both Arrow Electronics 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 Arrow Electronics and DFS Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Arrow Electronics and DFS Furniture PLC, you can compare the effects of market volatilities on Arrow Electronics 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 Arrow Electronics with a short position of DFS Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Arrow Electronics and DFS Furniture.
Diversification Opportunities for Arrow Electronics and DFS Furniture
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Arrow and DFS is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Arrow Electronics 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 Arrow Electronics 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 Arrow Electronics 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 Arrow Electronics i.e., Arrow Electronics and DFS Furniture go up and down completely randomly.
Pair Corralation between Arrow Electronics and DFS Furniture
Assuming the 90 days horizon Arrow Electronics is expected to generate 1.48 times less return on investment than DFS Furniture. But when comparing it to its historical volatility, Arrow Electronics is 1.29 times less risky than DFS Furniture. It trades about 0.21 of its potential returns per unit of risk. DFS Furniture PLC is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 147.00 in DFS Furniture PLC on April 20, 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 | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Arrow Electronics vs. DFS Furniture PLC
Performance |
Timeline |
Arrow Electronics |
DFS Furniture PLC |
Arrow Electronics and DFS Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Arrow Electronics and DFS Furniture
The main advantage of trading using opposite Arrow Electronics and DFS Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Arrow Electronics 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.Arrow Electronics vs. Corsair Gaming | Arrow Electronics vs. GAMEON ENTERTAINM TECHS | Arrow Electronics vs. OURGAME INTHOLDL 00005 | Arrow Electronics vs. Computer And Technologies |
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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 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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