Correlation Between Molina Healthcare and DFS Furniture
Can any of the company-specific risk be diversified away by investing in both Molina Healthcare 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 Molina Healthcare and DFS Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Molina Healthcare and DFS Furniture PLC, you can compare the effects of market volatilities on Molina Healthcare 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 Molina Healthcare with a short position of DFS Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Molina Healthcare and DFS Furniture.
Diversification Opportunities for Molina Healthcare and DFS Furniture
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Molina and DFS is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Molina Healthcare 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 Molina Healthcare 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 Molina Healthcare 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 Molina Healthcare i.e., Molina Healthcare and DFS Furniture go up and down completely randomly.
Pair Corralation between Molina Healthcare and DFS Furniture
Assuming the 90 days trading horizon Molina Healthcare is expected to generate 1.54 times less return on investment than DFS Furniture. But when comparing it to its historical volatility, Molina Healthcare is 1.17 times less risky than DFS Furniture. It trades about 0.02 of its potential returns per unit of risk. DFS Furniture PLC is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 158.00 in DFS Furniture PLC on October 26, 2024 and sell it today you would earn a total of 2.00 from holding DFS Furniture PLC or generate 1.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Molina Healthcare vs. DFS Furniture PLC
Performance |
Timeline |
Molina Healthcare |
DFS Furniture PLC |
Molina Healthcare and DFS Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Molina Healthcare and DFS Furniture
The main advantage of trading using opposite Molina Healthcare and DFS Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Molina Healthcare 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.Molina Healthcare vs. Hanison Construction Holdings | Molina Healthcare vs. HANOVER INSURANCE | Molina Healthcare vs. QBE Insurance Group | Molina Healthcare vs. UNIQA INSURANCE GR |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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