Correlation Between Ceragon Networks and Spectra Systems
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Spectra Systems 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 Spectra Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Spectra Systems Corp, you can compare the effects of market volatilities on Ceragon Networks and Spectra Systems 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 Spectra Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Spectra Systems.
Diversification Opportunities for Ceragon Networks and Spectra Systems
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ceragon and Spectra is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Spectra Systems Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Spectra Systems Corp 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 Spectra Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Spectra Systems Corp has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Spectra Systems go up and down completely randomly.
Pair Corralation between Ceragon Networks and Spectra Systems
Given the investment horizon of 90 days Ceragon Networks is expected to under-perform the Spectra Systems. In addition to that, Ceragon Networks is 3.3 times more volatile than Spectra Systems Corp. It trades about -0.18 of its total potential returns per unit of risk. Spectra Systems Corp is currently generating about -0.04 per unit of volatility. If you would invest 23,200 in Spectra Systems Corp on December 30, 2024 and sell it today you would lose (1,200) from holding Spectra Systems Corp or give up 5.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.38% |
Values | Daily Returns |
Ceragon Networks vs. Spectra Systems Corp
Performance |
Timeline |
Ceragon Networks |
Spectra Systems Corp |
Ceragon Networks and Spectra Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceragon Networks and Spectra Systems
The main advantage of trading using opposite Ceragon Networks and Spectra Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Spectra Systems 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 Spectra Systems will offset losses from the drop in Spectra Systems' long position.Ceragon Networks vs. Cambium Networks Corp | Ceragon Networks vs. KVH Industries | Ceragon Networks vs. Knowles Cor | Ceragon Networks vs. AudioCodes |
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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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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