Correlation Between Infosys and DATAGROUP

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

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

Diversification Opportunities for Infosys and DATAGROUP

0.72

Correlation Coefficient

Infosys  DATAGROUP

Poor diversification

The 3 months correlation between Infosys and DATAGROUP is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Infosys Limited and DATAGROUP SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATAGROUP SE and Infosys 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 Infosys Limited 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 Infosys i.e., Infosys and DATAGROUP go up and down completely randomly.

Pair Corralation between Infosys and DATAGROUP

Assuming the 90 days horizon Infosys Limited is expected to generate 1.54 times more return on investment than DATAGROUP. However, Infosys is 1.54 times more volatile than DATAGROUP SE. It trades about 0.11 of its potential returns per unit of risk. DATAGROUP SE is currently generating about 0.1 per unit of risk. If you would invest  2,120  in Infosys Limited on September 23, 2024 and sell it today you would earn a total of  130.00  from holding Infosys Limited or generate 6.13% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Infosys Limited  vs.  DATAGROUP SE

Infosys Limited

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Infosys Limited are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Infosys reported solid returns over the last few months and may actually be approaching a breakup point.

DATAGROUP SE

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical indicators, DATAGROUP unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Infosys and DATAGROUP

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

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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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.