Correlation Between Datagroup and Automatic Data

Can any of the company-specific risk be diversified away by investing in both Datagroup 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 Datagroup and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Datagroup SE and Automatic Data Processing, you can compare the effects of market volatilities on Datagroup 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 Datagroup with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datagroup and Automatic Data.

Diversification Opportunities for Datagroup and Automatic Data

0.0

Correlation Coefficient

Datagroup  Automatic Data

Pay attention - limited upside

The 3 months correlation between Datagroup and Automatic is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Datagroup SE 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 Datagroup 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 Datagroup SE 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 Datagroup i.e., Datagroup and Automatic Data go up and down completely randomly.

Pair Corralation between Datagroup and Automatic Data

Assuming the 90 days trading horizon Datagroup SE is expected to generate 0.92 times more return on investment than Automatic Data. However, Datagroup SE is 1.08 times less risky than Automatic Data. It trades about 0.2 of its potential returns per unit of risk. Automatic Data Processing is currently generating about 0.06 per unit of risk. If you would invest  5,400  in Datagroup SE on April 20, 2025 and sell it today you would earn a total of  680.00  from holding Datagroup SE or generate 12.59% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

Datagroup SE  vs.  Automatic Data Processing

Datagroup SE

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Datagroup may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Automatic Data Processing

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable basic indicators, Automatic Data is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Datagroup and Automatic Data

The main advantage of trading using opposite Datagroup and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datagroup 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.

The idea behind Datagroup SE and Automatic Data Processing 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.