Correlation Between Ceragon Networks and Link Real
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Link Real 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 Link Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Link Real Estate, you can compare the effects of market volatilities on Ceragon Networks and Link Real 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 Link Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Link Real.
Diversification Opportunities for Ceragon Networks and Link Real
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Ceragon and Link is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Link Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Link Real Estate 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 Link Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Link Real Estate has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Link Real go up and down completely randomly.
Pair Corralation between Ceragon Networks and Link Real
Given the investment horizon of 90 days Ceragon Networks is expected to generate 1.87 times more return on investment than Link Real. However, Ceragon Networks is 1.87 times more volatile than Link Real Estate. It trades about 0.43 of its potential returns per unit of risk. Link Real Estate is currently generating about -0.15 per unit of risk. If you would invest 258.00 in Ceragon Networks on August 29, 2024 and sell it today you would earn a total of 154.00 from holding Ceragon Networks or generate 59.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
Ceragon Networks vs. Link Real Estate
Performance |
| Timeline |
| Ceragon Networks |
| Link Real Estate |
Ceragon Networks and Link Real Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ceragon Networks and Link Real
The main advantage of trading using opposite Ceragon Networks and Link Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Link Real 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 Link Real will offset losses from the drop in Link Real's long position.| Ceragon Networks vs. KVH Industries | Ceragon Networks vs. Merck Company | Ceragon Networks vs. Pharvaris BV | Ceragon Networks vs. Brinker International |
| Link Real vs. Kimco Realty | Link Real vs. Simon Property Group | Link Real vs. Saul Centers | Link Real vs. Kimco Realty |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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