Correlation Between DATAGROUP and Carrefour

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

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

Diversification Opportunities for DATAGROUP and Carrefour

-0.65

Correlation Coefficient

DATAGROUP  Carrefour

Excellent diversification

The 3 months correlation between DATAGROUP and Carrefour is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and Carrefour SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carrefour SA 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 Carrefour. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carrefour SA has no effect on the direction of DATAGROUP i.e., DATAGROUP and Carrefour go up and down completely randomly.

Pair Corralation between DATAGROUP and Carrefour

Assuming the 90 days trading horizon DATAGROUP SE is expected to generate 1.49 times more return on investment than Carrefour. However, DATAGROUP is 1.49 times more volatile than Carrefour SA. It trades about 0.06 of its potential returns per unit of risk. Carrefour SA is currently generating about -0.11 per unit of risk. If you would invest  4,265  in DATAGROUP SE on September 28, 2024 and sell it today you would earn a total of  360.00  from holding DATAGROUP SE or generate 8.44% return on investment over 90 days.

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

DATAGROUP SE  vs.  Carrefour SA

DATAGROUP SE

Risk-Adjusted Performance

5 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain technical indicators, DATAGROUP may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Carrefour SA

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Carrefour SA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest uncertain performance, the Stock's basic indicators remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the company stockholders.

Pair Trading with DATAGROUP and Carrefour

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

The idea behind DATAGROUP SE and Carrefour SA 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.