Correlation Between DFS Furniture and Healthpeak Properties
Can any of the company-specific risk be diversified away by investing in both DFS Furniture and Healthpeak Properties 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 Healthpeak Properties 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 Healthpeak Properties, you can compare the effects of market volatilities on DFS Furniture and Healthpeak Properties 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 Healthpeak Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of DFS Furniture and Healthpeak Properties.
Diversification Opportunities for DFS Furniture and Healthpeak Properties
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between DFS and Healthpeak is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding DFS Furniture PLC and Healthpeak Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Healthpeak Properties 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 Healthpeak Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Healthpeak Properties has no effect on the direction of DFS Furniture i.e., DFS Furniture and Healthpeak Properties go up and down completely randomly.
Pair Corralation between DFS Furniture and Healthpeak Properties
Assuming the 90 days trading horizon DFS Furniture PLC is expected to under-perform the Healthpeak Properties. In addition to that, DFS Furniture is 2.19 times more volatile than Healthpeak Properties. It trades about -0.14 of its total potential returns per unit of risk. Healthpeak Properties is currently generating about -0.1 per unit of volatility. If you would invest 1,970 in Healthpeak Properties on October 15, 2024 and sell it today you would lose (50.00) from holding Healthpeak Properties or give up 2.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DFS Furniture PLC vs. Healthpeak Properties
Performance |
Timeline |
DFS Furniture PLC |
Healthpeak Properties |
DFS Furniture and Healthpeak Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DFS Furniture and Healthpeak Properties
The main advantage of trading using opposite DFS Furniture and Healthpeak Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DFS Furniture position performs unexpectedly, Healthpeak Properties 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 Healthpeak Properties will offset losses from the drop in Healthpeak Properties' long position.DFS Furniture vs. OFFICE DEPOT | DFS Furniture vs. ORMAT TECHNOLOGIES | DFS Furniture vs. ACCSYS TECHPLC EO | DFS Furniture vs. alstria office REIT AG |
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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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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