Correlation Between Various Eateries and DFS Furniture
Can any of the company-specific risk be diversified away by investing in both Various Eateries 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 Various Eateries and DFS Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Various Eateries PLC and DFS Furniture PLC, you can compare the effects of market volatilities on Various Eateries 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 Various Eateries with a short position of DFS Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Various Eateries and DFS Furniture.
Diversification Opportunities for Various Eateries and DFS Furniture
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Various and DFS is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Various Eateries PLC 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 Various Eateries 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 Various Eateries PLC 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 Various Eateries i.e., Various Eateries and DFS Furniture go up and down completely randomly.
Pair Corralation between Various Eateries and DFS Furniture
Assuming the 90 days trading horizon Various Eateries PLC is expected to under-perform the DFS Furniture. But the stock apears to be less risky and, when comparing its historical volatility, Various Eateries PLC is 5.67 times less risky than DFS Furniture. The stock trades about -0.12 of its potential returns per unit of risk. The DFS Furniture PLC is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 11,960 in DFS Furniture PLC on September 12, 2024 and sell it today you would earn a total of 2,540 from holding DFS Furniture PLC or generate 21.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Various Eateries PLC vs. DFS Furniture PLC
Performance |
Timeline |
Various Eateries PLC |
DFS Furniture PLC |
Various Eateries and DFS Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Various Eateries and DFS Furniture
The main advantage of trading using opposite Various Eateries and DFS Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Various Eateries 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.Various Eateries vs. National Atomic Co | Various Eateries vs. OTP Bank Nyrt | Various Eateries vs. Samsung Electronics Co | Various Eateries vs. Samsung Electronics Co |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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