Correlation Between DATAGROUP and BioNTech

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

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

Diversification Opportunities for DATAGROUP and BioNTech

0.69

Correlation Coefficient

DATAGROUP  BioNTech

Poor diversification

The 3 months correlation between DATAGROUP and BioNTech is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding DATAGROUP SE and BioNTech SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BioNTech SE 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 BioNTech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BioNTech SE has no effect on the direction of DATAGROUP i.e., DATAGROUP and BioNTech go up and down completely randomly.

Pair Corralation between DATAGROUP and BioNTech

Assuming the 90 days trading horizon DATAGROUP SE is expected to under-perform the BioNTech. But the stock apears to be less risky and, when comparing its historical volatility, DATAGROUP SE is 1.26 times less risky than BioNTech. The stock trades about -0.01 of its potential returns per unit of risk. The BioNTech SE is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  9,376  in BioNTech SE on October 9, 2024 and sell it today you would earn a total of  2,914  from holding BioNTech SE or generate 31.08% return on investment over 90 days.

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

DATAGROUP SE  vs.  BioNTech SE

DATAGROUP SE

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in DATAGROUP SE are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile technical indicators, DATAGROUP may actually be approaching a critical reversion point that can send shares even higher in February 2025.

BioNTech SE

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in BioNTech SE are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather uncertain basic indicators, BioNTech may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with DATAGROUP and BioNTech

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

The idea behind DATAGROUP SE and BioNTech 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.