Correlation Between Cisco Systems and Nokia
Specify exactly 2 symbols:
By analyzing existing cross correlation between Cisco Systems and Nokia 6625 percent, you can compare the effects of market volatilities on Cisco Systems and Nokia 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 Nokia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cisco Systems and Nokia.
Diversification Opportunities for Cisco Systems and Nokia
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cisco and Nokia is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Cisco Systems and Nokia 6625 percent in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nokia 6625 percent 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 Nokia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nokia 6625 percent has no effect on the direction of Cisco Systems i.e., Cisco Systems and Nokia go up and down completely randomly.
Pair Corralation between Cisco Systems and Nokia
Given the investment horizon of 90 days Cisco Systems is expected to generate 0.68 times more return on investment than Nokia. However, Cisco Systems is 1.46 times less risky than Nokia. It trades about 0.05 of its potential returns per unit of risk. Nokia 6625 percent is currently generating about 0.0 per unit of risk. If you would invest 5,879 in Cisco Systems on December 30, 2024 and sell it today you would earn a total of 207.00 from holding Cisco Systems or generate 3.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 96.88% |
Values | Daily Returns |
Cisco Systems vs. Nokia 6625 percent
Performance |
Timeline |
Cisco Systems |
Nokia 6625 percent |
Risk-Adjusted Performance
Very Weak
Weak | Strong |
Cisco Systems and Nokia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cisco Systems and Nokia
The main advantage of trading using opposite Cisco Systems and Nokia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cisco Systems position performs unexpectedly, Nokia 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 Nokia will offset losses from the drop in Nokia's long position.Cisco Systems vs. Juniper Networks | Cisco Systems vs. Nokia Corp ADR | Cisco Systems vs. Motorola Solutions | Cisco Systems vs. Ciena Corp |
Nokia vs. BJs Restaurants | Nokia vs. Vita Coco | Nokia vs. Compania Cervecerias Unidas | Nokia vs. Dalata Hotel Group |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
Other Complementary Tools
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |