Correlation Between Grieg Seafood and Datalogic

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

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

Diversification Opportunities for Grieg Seafood and Datalogic

0.56

Correlation Coefficient

Grieg Seafood  Datalogic

Very weak diversification

The 3 months correlation between Grieg and Datalogic is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Grieg Seafood and Datalogic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datalogic and Grieg Seafood 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 Grieg Seafood are associated (or correlated) with Datalogic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Datalogic has no effect on the direction of Grieg Seafood i.e., Grieg Seafood and Datalogic go up and down completely randomly.

Pair Corralation between Grieg Seafood and Datalogic

Assuming the 90 days trading horizon Grieg Seafood is expected to generate 1.2 times more return on investment than Datalogic. However, Grieg Seafood is 1.2 times more volatile than Datalogic. It trades about -0.05 of its potential returns per unit of risk. Datalogic is currently generating about -0.23 per unit of risk. If you would invest  6,533  in Grieg Seafood on October 24, 2024 and sell it today you would lose (488.00) from holding Grieg Seafood or give up 7.47% of portfolio value over 90 days.

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

Grieg Seafood  vs.  Datalogic

Grieg Seafood

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Grieg Seafood has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

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 February 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

Pair Trading with Grieg Seafood and Datalogic

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

The idea behind Grieg Seafood and Datalogic 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.