Correlation Between Gamma Communications and Cellnex Telecom
Can any of the company-specific risk be diversified away by investing in both Gamma Communications 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 Gamma Communications and Cellnex Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gamma Communications PLC and Cellnex Telecom SA, you can compare the effects of market volatilities on Gamma Communications 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 Gamma Communications with a short position of Cellnex Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gamma Communications and Cellnex Telecom.
Diversification Opportunities for Gamma Communications and Cellnex Telecom
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gamma and Cellnex is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Gamma Communications 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 Gamma Communications 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 Gamma Communications 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 Gamma Communications i.e., Gamma Communications and Cellnex Telecom go up and down completely randomly.
Pair Corralation between Gamma Communications and Cellnex Telecom
Assuming the 90 days trading horizon Gamma Communications PLC is expected to generate 0.8 times more return on investment than Cellnex Telecom. However, Gamma Communications PLC is 1.25 times less risky than Cellnex Telecom. It trades about -0.04 of its potential returns per unit of risk. Cellnex Telecom SA is currently generating about -0.09 per unit of risk. If you would invest 170,348 in Gamma Communications PLC on September 12, 2024 and sell it today you would lose (5,948) from holding Gamma Communications PLC or give up 3.49% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gamma Communications PLC vs. Cellnex Telecom SA
Performance |
Timeline |
Gamma Communications PLC |
Cellnex Telecom SA |
Gamma Communications and Cellnex Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gamma Communications and Cellnex Telecom
The main advantage of trading using opposite Gamma Communications and Cellnex Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gamma Communications 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.Gamma Communications vs. Catalyst Media Group | Gamma Communications vs. CATLIN GROUP | Gamma Communications vs. Tamburi Investment Partners | Gamma Communications vs. Magnora ASA |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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