Correlation Between Ceragon Networks and Airbus Group
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Airbus Group 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 Ceragon Networks and Airbus Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Airbus Group NV, you can compare the effects of market volatilities on Ceragon Networks and Airbus Group 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 Ceragon Networks with a short position of Airbus Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Airbus Group.
Diversification Opportunities for Ceragon Networks and Airbus Group
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Ceragon and Airbus is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Airbus Group NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Airbus Group NV and Ceragon Networks 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 Ceragon Networks are associated (or correlated) with Airbus Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Airbus Group NV has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Airbus Group go up and down completely randomly.
Pair Corralation between Ceragon Networks and Airbus Group
Given the investment horizon of 90 days Ceragon Networks is expected to generate 2.28 times more return on investment than Airbus Group. However, Ceragon Networks is 2.28 times more volatile than Airbus Group NV. It trades about 0.15 of its potential returns per unit of risk. Airbus Group NV is currently generating about 0.07 per unit of risk. If you would invest 294.00 in Ceragon Networks on September 4, 2024 and sell it today you would earn a total of 122.00 from holding Ceragon Networks or generate 41.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ceragon Networks vs. Airbus Group NV
Performance |
Timeline |
Ceragon Networks |
Airbus Group NV |
Ceragon Networks and Airbus Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceragon Networks and Airbus Group
The main advantage of trading using opposite Ceragon Networks and Airbus Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Airbus Group 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 Airbus Group will offset losses from the drop in Airbus Group's long position.Ceragon Networks vs. Cambium Networks Corp | Ceragon Networks vs. KVH Industries | Ceragon Networks vs. Knowles Cor | Ceragon Networks vs. AudioCodes |
Airbus Group vs. Safran SA | Airbus Group vs. Moog Inc | Airbus Group vs. BAE Systems PLC | Airbus Group vs. Airbus Group SE |
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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