Correlation Between Visa and Datagroup

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

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

Diversification Opportunities for Visa and Datagroup

0.1

Correlation Coefficient

Visa  Datagroup

Average diversification

The 3 months correlation between Visa and Datagroup is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Datagroup SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datagroup SE and Visa 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 Visa Class A are associated (or correlated) with Datagroup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datagroup SE has no effect on the direction of Visa i.e., Visa and Datagroup go up and down completely randomly.

Pair Corralation between Visa and Datagroup

Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.47 times more return on investment than Datagroup. However, Visa Class A is 2.13 times less risky than Datagroup. It trades about 0.09 of its potential returns per unit of risk. Datagroup SE is currently generating about -0.02 per unit of risk. If you would invest  20,975  in Visa Class A on September 3, 2024 and sell it today you would earn a total of  10,533  from holding Visa Class A or generate 50.22% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	99.8%
Values	Daily Returns

Visa Class A  vs.  Datagroup SE

Visa Class A

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Visa Class A are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Visa showed solid returns over the last few months and may actually be approaching a breakup point.

Datagroup SE

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady basic indicators, Datagroup unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Visa and Datagroup

The main advantage of trading using opposite Visa and Datagroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Datagroup 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 Datagroup will offset losses from the drop in Datagroup's long position.

The idea behind Visa Class A and Datagroup SE 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.