Correlation Between Datalogic and Datagroup

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

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

Diversification Opportunities for Datalogic and Datagroup

-0.44

Correlation Coefficient

Datalogic  Datagroup

Very good diversification

The 3 months correlation between Datalogic and Datagroup is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Datalogic and Datagroup SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datagroup SE and Datalogic 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 Datalogic 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 Datalogic i.e., Datalogic and Datagroup go up and down completely randomly.

Pair Corralation between Datalogic and Datagroup

Assuming the 90 days trading horizon Datalogic is expected to under-perform the Datagroup. But the stock apears to be less risky and, when comparing its historical volatility, Datalogic is 1.52 times less risky than Datagroup. The stock trades about -0.03 of its potential returns per unit of risk. The Datagroup SE is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest  4,550  in Datagroup SE on October 2, 2024 and sell it today you would lose (30.00) from holding Datagroup SE or give up 0.66% of portfolio value over 90 days.

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

Datalogic  vs.  Datagroup SE

Datalogic

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Datalogic has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in January 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Datagroup SE

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable basic indicators, Datagroup 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 Datalogic and Datagroup

The main advantage of trading using opposite Datalogic and Datagroup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datalogic 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 Datalogic 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 Transaction History module to view history of all your transactions and understand their impact on performance.