Correlation Between Rheinmetall and Cellnex Telecom
Can any of the company-specific risk be diversified away by investing in both Rheinmetall 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 Rheinmetall and Cellnex Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rheinmetall AG and Cellnex Telecom SA, you can compare the effects of market volatilities on Rheinmetall 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 Rheinmetall with a short position of Cellnex Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rheinmetall and Cellnex Telecom.
Diversification Opportunities for Rheinmetall and Cellnex Telecom
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Rheinmetall and Cellnex is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Rheinmetall AG 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 Rheinmetall 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 Rheinmetall AG 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 Rheinmetall i.e., Rheinmetall and Cellnex Telecom go up and down completely randomly.
Pair Corralation between Rheinmetall and Cellnex Telecom
Assuming the 90 days trading horizon Rheinmetall AG is expected to generate 2.37 times more return on investment than Cellnex Telecom. However, Rheinmetall is 2.37 times more volatile than Cellnex Telecom SA. It trades about 0.15 of its potential returns per unit of risk. Cellnex Telecom SA is currently generating about -0.05 per unit of risk. If you would invest 138,274 in Rheinmetall AG on April 25, 2025 and sell it today you would earn a total of 39,076 from holding Rheinmetall AG or generate 28.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Rheinmetall AG vs. Cellnex Telecom SA
Performance |
Timeline |
Rheinmetall AG |
Cellnex Telecom SA |
Rheinmetall and Cellnex Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rheinmetall and Cellnex Telecom
The main advantage of trading using opposite Rheinmetall and Cellnex Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rheinmetall 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.Rheinmetall vs. Toyota Motor Corp | Rheinmetall vs. SoftBank Group Corp | Rheinmetall vs. OTP Bank Nyrt | Rheinmetall vs. State Bank of |
Cellnex Telecom vs. Toyota Motor Corp | Cellnex Telecom vs. SoftBank Group Corp | Cellnex Telecom vs. OTP Bank Nyrt | Cellnex Telecom vs. State Bank of |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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