Correlation Between Automatic Data and Equifax
Can any of the company-specific risk be diversified away by investing in both Automatic Data and Equifax 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 Automatic Data and Equifax into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automatic Data Processing and Equifax, you can compare the effects of market volatilities on Automatic Data and Equifax 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 Automatic Data with a short position of Equifax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Equifax.
Diversification Opportunities for Automatic Data and Equifax
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Automatic and Equifax is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Equifax in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Equifax and Automatic Data 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 Automatic Data Processing are associated (or correlated) with Equifax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Equifax has no effect on the direction of Automatic Data i.e., Automatic Data and Equifax go up and down completely randomly.
Pair Corralation between Automatic Data and Equifax
Assuming the 90 days horizon Automatic Data is expected to generate 16.49 times less return on investment than Equifax. But when comparing it to its historical volatility, Automatic Data Processing is 13.46 times less risky than Equifax. It trades about 0.04 of its potential returns per unit of risk. Equifax is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 3,952 in Equifax on August 28, 2024 and sell it today you would earn a total of 20,048 from holding Equifax or generate 507.29% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Automatic Data Processing vs. Equifax
Performance |
| Timeline |
| Automatic Data Processing |
| Equifax |
Automatic Data and Equifax Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Automatic Data and Equifax
The main advantage of trading using opposite Automatic Data and Equifax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, Equifax 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 Equifax will offset losses from the drop in Equifax's long position.The idea behind Automatic Data Processing and Equifax 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.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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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