Correlation Between Cushman Wakefield and Cellnex Telecom
Can any of the company-specific risk be diversified away by investing in both Cushman Wakefield and Cellnex Telecom 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 Cushman Wakefield and Cellnex Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cushman Wakefield plc and Cellnex Telecom SA, you can compare the effects of market volatilities on Cushman Wakefield and Cellnex Telecom 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 Cushman Wakefield with a short position of Cellnex Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cushman Wakefield and Cellnex Telecom.
Diversification Opportunities for Cushman Wakefield and Cellnex Telecom
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Cushman and Cellnex is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Cushman Wakefield plc and Cellnex Telecom SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cellnex Telecom SA and Cushman Wakefield 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 Cushman Wakefield plc are associated (or correlated) with Cellnex Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cellnex Telecom SA has no effect on the direction of Cushman Wakefield i.e., Cushman Wakefield and Cellnex Telecom go up and down completely randomly.
Pair Corralation between Cushman Wakefield and Cellnex Telecom
Considering the 90-day investment horizon Cushman Wakefield plc is expected to generate 1.55 times more return on investment than Cellnex Telecom. However, Cushman Wakefield is 1.55 times more volatile than Cellnex Telecom SA. It trades about 0.12 of its potential returns per unit of risk. Cellnex Telecom SA is currently generating about -0.02 per unit of risk. If you would invest 1,076 in Cushman Wakefield plc on September 1, 2024 and sell it today you would earn a total of 454.00 from holding Cushman Wakefield plc or generate 42.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.21% |
Values | Daily Returns |
Cushman Wakefield plc vs. Cellnex Telecom SA
Performance |
Timeline |
Cushman Wakefield plc |
Cellnex Telecom SA |
Cushman Wakefield and Cellnex Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cushman Wakefield and Cellnex Telecom
The main advantage of trading using opposite Cushman Wakefield and Cellnex Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cushman Wakefield position performs unexpectedly, Cellnex Telecom 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 Cellnex Telecom will offset losses from the drop in Cellnex Telecom's long position.Cushman Wakefield vs. Re Max Holding | Cushman Wakefield vs. Marcus Millichap | Cushman Wakefield vs. Frp Holdings Ord | Cushman Wakefield vs. Maui Land Pineapple |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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