Correlation Between Extreme Networks and Cambium Networks
Can any of the company-specific risk be diversified away by investing in both Extreme Networks and Cambium Networks 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 Extreme Networks and Cambium Networks into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Extreme Networks and Cambium Networks Corp, you can compare the effects of market volatilities on Extreme Networks and Cambium Networks 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 Extreme Networks with a short position of Cambium Networks. Check out your portfolio center. Please also check ongoing floating volatility patterns of Extreme Networks and Cambium Networks.
Diversification Opportunities for Extreme Networks and Cambium Networks
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Extreme and Cambium is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Extreme Networks and Cambium Networks Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cambium Networks Corp and Extreme 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 Extreme Networks are associated (or correlated) with Cambium Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cambium Networks Corp has no effect on the direction of Extreme Networks i.e., Extreme Networks and Cambium Networks go up and down completely randomly.
Pair Corralation between Extreme Networks and Cambium Networks
Given the investment horizon of 90 days Extreme Networks is expected to under-perform the Cambium Networks. But the stock apears to be less risky and, when comparing its historical volatility, Extreme Networks is 4.1 times less risky than Cambium Networks. The stock trades about -0.13 of its potential returns per unit of risk. The Cambium Networks Corp is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 80.00 in Cambium Networks Corp on December 28, 2024 and sell it today you would lose (10.00) from holding Cambium Networks Corp or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Extreme Networks vs. Cambium Networks Corp
Performance |
Timeline |
Extreme Networks |
Cambium Networks Corp |
Extreme Networks and Cambium Networks Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Extreme Networks and Cambium Networks
The main advantage of trading using opposite Extreme Networks and Cambium Networks positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Extreme Networks position performs unexpectedly, Cambium Networks 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 Cambium Networks will offset losses from the drop in Cambium Networks' long position.Extreme Networks vs. ADTRAN Inc | Extreme Networks vs. KVH Industries | Extreme Networks vs. Telesat Corp | Extreme Networks vs. Digi International |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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