Correlation Between Solid State and Datagroup

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

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

Diversification Opportunities for Solid State and Datagroup

-0.68

Correlation Coefficient

Solid State  Datagroup

Excellent diversification

The 3 months correlation between Solid and Datagroup is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Solid State Plc and Datagroup SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Datagroup SE and Solid State 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 Solid State Plc 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 Solid State i.e., Solid State and Datagroup go up and down completely randomly.

Pair Corralation between Solid State and Datagroup

Assuming the 90 days trading horizon Solid State Plc is expected to under-perform the Datagroup. In addition to that, Solid State is 2.31 times more volatile than Datagroup SE. It trades about -0.14 of its total potential returns per unit of risk. Datagroup SE is currently generating about 0.12 per unit of volatility. If you would invest  4,145  in Datagroup SE on September 19, 2024 and sell it today you would earn a total of  795.00  from holding Datagroup SE or generate 19.18% return on investment over 90 days.

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

Solid State Plc  vs.  Datagroup SE

Solid State Plc

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Solid State Plc 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

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Datagroup SE are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Datagroup unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Solid State and Datagroup

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