Correlation Between Lumentum Holdings and Cisco Systems
Can any of the company-specific risk be diversified away by investing in both Lumentum Holdings and Cisco 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 Lumentum Holdings and Cisco Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lumentum Holdings and Cisco Systems, you can compare the effects of market volatilities on Lumentum Holdings and Cisco 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 Lumentum Holdings with a short position of Cisco Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lumentum Holdings and Cisco Systems.
Diversification Opportunities for Lumentum Holdings and Cisco Systems
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lumentum and Cisco is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Lumentum Holdings and Cisco Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cisco Systems and Lumentum Holdings 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 Lumentum Holdings are associated (or correlated) with Cisco Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cisco Systems has no effect on the direction of Lumentum Holdings i.e., Lumentum Holdings and Cisco Systems go up and down completely randomly.
Pair Corralation between Lumentum Holdings and Cisco Systems
Given the investment horizon of 90 days Lumentum Holdings is expected to generate 3.32 times more return on investment than Cisco Systems. However, Lumentum Holdings is 3.32 times more volatile than Cisco Systems. It trades about 0.06 of its potential returns per unit of risk. Cisco Systems is currently generating about 0.09 per unit of risk. If you would invest 5,877 in Lumentum Holdings on November 3, 2024 and sell it today you would earn a total of 2,629 from holding Lumentum Holdings or generate 44.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lumentum Holdings vs. Cisco Systems
Performance |
Timeline |
Lumentum Holdings |
Cisco Systems |
Lumentum Holdings and Cisco Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lumentum Holdings and Cisco Systems
The main advantage of trading using opposite Lumentum Holdings and Cisco Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lumentum Holdings position performs unexpectedly, Cisco 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 Cisco Systems will offset losses from the drop in Cisco Systems' long position.Lumentum Holdings vs. NETGEAR | Lumentum Holdings vs. KVH Industries | Lumentum Holdings vs. Telesat Corp | Lumentum Holdings vs. Juniper Networks |
Cisco Systems vs. Juniper Networks | Cisco Systems vs. Nokia Corp ADR | Cisco Systems vs. Motorola Solutions | Cisco Systems vs. Ciena Corp |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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