Correlation Between Ceragon Networks and Sumitomo Metal
Can any of the company-specific risk be diversified away by investing in both Ceragon Networks and Sumitomo Metal 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 Sumitomo Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ceragon Networks and Sumitomo Metal Mining, you can compare the effects of market volatilities on Ceragon Networks and Sumitomo Metal 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 Sumitomo Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ceragon Networks and Sumitomo Metal.
Diversification Opportunities for Ceragon Networks and Sumitomo Metal
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ceragon and Sumitomo is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Ceragon Networks and Sumitomo Metal Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumitomo Metal Mining 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 Sumitomo Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumitomo Metal Mining has no effect on the direction of Ceragon Networks i.e., Ceragon Networks and Sumitomo Metal go up and down completely randomly.
Pair Corralation between Ceragon Networks and Sumitomo Metal
Given the investment horizon of 90 days Ceragon Networks is expected to under-perform the Sumitomo Metal. In addition to that, Ceragon Networks is 2.39 times more volatile than Sumitomo Metal Mining. It trades about -0.18 of its total potential returns per unit of risk. Sumitomo Metal Mining is currently generating about 0.02 per unit of volatility. If you would invest 565.00 in Sumitomo Metal Mining on December 30, 2024 and sell it today you would earn a total of 6.00 from holding Sumitomo Metal Mining or generate 1.06% 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. Sumitomo Metal Mining
Performance |
Timeline |
Ceragon Networks |
Sumitomo Metal Mining |
Ceragon Networks and Sumitomo Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ceragon Networks and Sumitomo Metal
The main advantage of trading using opposite Ceragon Networks and Sumitomo Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ceragon Networks position performs unexpectedly, Sumitomo Metal 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 Sumitomo Metal will offset losses from the drop in Sumitomo Metal's 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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