Correlation Between Ceragon Networks and Congress Mid
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Congress Mid 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 Congress Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Congress Mid Cap, you can compare the effects of market volatilities on Ceragon Networks and Congress Mid 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 Congress Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Congress Mid.
Diversification Opportunities for Ceragon Networks and Congress Mid
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ceragon and Congress is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Congress Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Congress Mid Cap 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 Congress Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Congress Mid Cap has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Congress Mid go up and down completely randomly.
Pair Corralation between Ceragon Networks and Congress Mid
Given the investment horizon of 90 days Ceragon Networks is expected to generate 4.39 times more return on investment than Congress Mid. However, Ceragon Networks is 4.39 times more volatile than Congress Mid Cap. It trades about 0.19 of its potential returns per unit of risk. Congress Mid Cap is currently generating about 0.17 per unit of risk. If you would invest 273.00 in Ceragon Networks on September 9, 2024 and sell it today you would earn a total of 157.00 from holding Ceragon Networks or generate 57.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ceragon Networks vs. Congress Mid Cap
Performance |
Timeline |
Ceragon Networks |
Congress Mid Cap |
Ceragon Networks and Congress Mid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceragon Networks and Congress Mid
The main advantage of trading using opposite Ceragon Networks and Congress Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Congress Mid 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 Congress Mid will offset losses from the drop in Congress Mid's long position.Ceragon Networks vs. Cambium Networks Corp | Ceragon Networks vs. KVH Industries | Ceragon Networks vs. Knowles Cor | Ceragon Networks vs. AudioCodes |
Congress Mid vs. Congress Mid Cap | Congress Mid vs. Congress Large Cap | Congress Mid vs. Congress Large Cap | Congress Mid vs. Champlain Mid Cap |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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