Correlation Between PayPal Holdings, and Cisco Systems
Can any of the company-specific risk be diversified away by investing in both PayPal 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 PayPal 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 PayPal Holdings, and Cisco Systems, you can compare the effects of market volatilities on PayPal 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 PayPal Holdings, with a short position of Cisco Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of PayPal Holdings, and Cisco Systems.
Diversification Opportunities for PayPal Holdings, and Cisco Systems
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between PayPal and Cisco is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding PayPal Holdings, and Cisco Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cisco Systems and PayPal 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 PayPal 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 PayPal Holdings, i.e., PayPal Holdings, and Cisco Systems go up and down completely randomly.
Pair Corralation between PayPal Holdings, and Cisco Systems
Assuming the 90 days trading horizon PayPal Holdings, is expected to generate 1.18 times less return on investment than Cisco Systems. In addition to that, PayPal Holdings, is 1.39 times more volatile than Cisco Systems. It trades about 0.14 of its total potential returns per unit of risk. Cisco Systems is currently generating about 0.22 per unit of volatility. If you would invest 105,766 in Cisco Systems on April 21, 2025 and sell it today you would earn a total of 21,734 from holding Cisco Systems or generate 20.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PayPal Holdings, vs. Cisco Systems
Performance |
Timeline |
PayPal Holdings, |
Cisco Systems |
PayPal Holdings, and Cisco Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PayPal Holdings, and Cisco Systems
The main advantage of trading using opposite PayPal Holdings, and Cisco Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PayPal 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.PayPal Holdings, vs. Visa Inc | PayPal Holdings, vs. Mastercard Incorporated | PayPal Holdings, vs. American Express | PayPal Holdings, vs. Capital One Financial |
Cisco Systems vs. Desarrolladora Homex SAB | Cisco Systems vs. First Republic Bank | Cisco Systems vs. McEwen Mining | Cisco Systems vs. DXC Technology |
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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