Correlation Between DFS Furniture and Griffin Mining
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Griffin Mining 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 Griffin Mining 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 Griffin Mining, you can compare the effects of market volatilities on DFS Furniture and Griffin Mining 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 Griffin Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Griffin Mining.
Diversification Opportunities for DFS Furniture and Griffin Mining
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between DFS and Griffin is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Griffin Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Griffin Mining 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 Griffin Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Griffin Mining has no effect on the direction of DFS Furniture i.e., DFS Furniture and Griffin Mining go up and down completely randomly.
Pair Corralation between DFS Furniture and Griffin Mining
Assuming the 90 days trading horizon DFS Furniture is expected to generate 1.53 times less return on investment than Griffin Mining. But when comparing it to its historical volatility, DFS Furniture PLC is 1.24 times less risky than Griffin Mining. It trades about 0.07 of its potential returns per unit of risk. Griffin Mining is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 14,500 in Griffin Mining on October 6, 2024 and sell it today you would earn a total of 1,100 from holding Griffin Mining or generate 7.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DFS Furniture PLC vs. Griffin Mining
Performance |
Timeline |
DFS Furniture PLC |
Griffin Mining |
DFS Furniture and Griffin Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DFS Furniture and Griffin Mining
The main advantage of trading using opposite DFS Furniture and Griffin Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Griffin Mining 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 Griffin Mining will offset losses from the drop in Griffin Mining's long position.DFS Furniture vs. Martin Marietta Materials | DFS Furniture vs. Beeks Trading | DFS Furniture vs. JB Hunt Transport | DFS Furniture vs. Chrysalis Investments |
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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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
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