Correlation Between Marcus and Cisco Systems
Can any of the company-specific risk be diversified away by investing in both Marcus 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 Marcus and Cisco Systems into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marcus and Cisco Systems, you can compare the effects of market volatilities on Marcus 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 Marcus with a short position of Cisco Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marcus and Cisco Systems.
Diversification Opportunities for Marcus and Cisco Systems
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Marcus and Cisco is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Marcus and Cisco Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cisco Systems and Marcus 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 Marcus 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 Marcus i.e., Marcus and Cisco Systems go up and down completely randomly.
Pair Corralation between Marcus and Cisco Systems
Considering the 90-day investment horizon Marcus is expected to under-perform the Cisco Systems. In addition to that, Marcus is 1.11 times more volatile than Cisco Systems. It trades about -0.13 of its total potential returns per unit of risk. Cisco Systems is currently generating about -0.07 per unit of volatility. If you would invest 4,928 in Cisco Systems on January 25, 2024 and sell it today you would lose (96.00) from holding Cisco Systems or give up 1.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Marcus vs. Cisco Systems
Performance |
Timeline |
Marcus |
Cisco Systems |
Marcus and Cisco Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marcus and Cisco Systems
The main advantage of trading using opposite Marcus and Cisco Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marcus 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.The idea behind Marcus and Cisco Systems pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Cisco Systems vs. Desktop Metal | Cisco Systems vs. Fabrinet | Cisco Systems vs. Kimball Electronics | Cisco Systems vs. Knowles Cor |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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