Correlation Between Datagroup and Bet At

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

By analyzing existing cross correlation between Datagroup SE and bet at home AG, you can compare the effects of market volatilities on Datagroup and Bet At 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 Bet At. Check out your portfolio center. Please also check ongoing floating volatility patterns of Datagroup and Bet At.

Diversification Opportunities for Datagroup and Bet At

-0.61

Correlation Coefficient

Datagroup  Bet At

Excellent diversification

The 3 months correlation between Datagroup and Bet is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Datagroup SE and bet at home AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on bet at home 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 Bet At. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of bet at home has no effect on the direction of Datagroup i.e., Datagroup and Bet At go up and down completely randomly.

Pair Corralation between Datagroup and Bet At

Assuming the 90 days trading horizon Datagroup SE is expected to generate 1.06 times more return on investment than Bet At. However, Datagroup is 1.06 times more volatile than bet at home AG. It trades about 0.12 of its potential returns per unit of risk. bet at home AG is currently generating about -0.15 per unit of risk. 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

Datagroup SE  vs.  bet at home AG

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.

bet at home

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days bet at home AG 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.

Pair Trading with Datagroup and Bet At

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

The idea behind Datagroup SE and bet at home AG 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.