Correlation Between Global Payments and Automatic Data
Can any of the company-specific risk be diversified away by investing in both Global Payments and Automatic Data 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 Global Payments and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Payments and Automatic Data Processing, you can compare the effects of market volatilities on Global Payments and Automatic Data 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 Global Payments with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Payments and Automatic Data.
Diversification Opportunities for Global Payments and Automatic Data
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Global and Automatic is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Global Payments and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and Global Payments 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 Global Payments are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of Global Payments i.e., Global Payments and Automatic Data go up and down completely randomly.
Pair Corralation between Global Payments and Automatic Data
Assuming the 90 days horizon Global Payments is expected to generate 1.32 times more return on investment than Automatic Data. However, Global Payments is 1.32 times more volatile than Automatic Data Processing. It trades about 0.15 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.07 per unit of risk. If you would invest 5,959 in Global Payments on April 22, 2025 and sell it today you would earn a total of 1,081 from holding Global Payments or generate 18.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Global Payments vs. Automatic Data Processing
Performance |
Timeline |
Global Payments |
Automatic Data Processing |
Global Payments and Automatic Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Payments and Automatic Data
The main advantage of trading using opposite Global Payments and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Payments position performs unexpectedly, Automatic Data 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 Automatic Data will offset losses from the drop in Automatic Data's long position.Global Payments vs. DICKER DATA LTD | Global Payments vs. Columbia Sportswear | Global Payments vs. Teradata Corp | Global Payments vs. DATALOGIC |
Automatic Data vs. CHRYSALIS INVESTMENTS LTD | Automatic Data vs. ALLFUNDS GROUP EO 0025 | Automatic Data vs. COLUMBIA SPORTSWEAR | Automatic Data vs. MidCap Financial Investment |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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