Correlation Between Cisco Systems and Carbon Streaming
Can any of the company-specific risk be diversified away by investing in both Cisco Systems and Carbon Streaming 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 Cisco Systems and Carbon Streaming into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cisco Systems and Carbon Streaming Corp, you can compare the effects of market volatilities on Cisco Systems and Carbon Streaming 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 Cisco Systems with a short position of Carbon Streaming. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cisco Systems and Carbon Streaming.
Diversification Opportunities for Cisco Systems and Carbon Streaming
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Cisco and Carbon is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Cisco Systems and Carbon Streaming Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carbon Streaming Corp and Cisco Systems 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 Cisco Systems are associated (or correlated) with Carbon Streaming. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carbon Streaming Corp has no effect on the direction of Cisco Systems i.e., Cisco Systems and Carbon Streaming go up and down completely randomly.
Pair Corralation between Cisco Systems and Carbon Streaming
Given the investment horizon of 90 days Cisco Systems is expected to generate 2.7 times less return on investment than Carbon Streaming. But when comparing it to its historical volatility, Cisco Systems is 3.05 times less risky than Carbon Streaming. It trades about 0.2 of its potential returns per unit of risk. Carbon Streaming Corp is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 34.00 in Carbon Streaming Corp on May 14, 2025 and sell it today you would earn a total of 15.00 from holding Carbon Streaming Corp or generate 44.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Cisco Systems vs. Carbon Streaming Corp
Performance |
Timeline |
Cisco Systems |
Carbon Streaming Corp |
Cisco Systems and Carbon Streaming Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cisco Systems and Carbon Streaming
The main advantage of trading using opposite Cisco Systems and Carbon Streaming positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cisco Systems position performs unexpectedly, Carbon Streaming 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 Carbon Streaming will offset losses from the drop in Carbon Streaming's long position.Cisco Systems vs. International Business Machines | Cisco Systems vs. Intel | Cisco Systems vs. Foghorn Therapeutics | Cisco Systems vs. C4 Therapeutics |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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