Correlation Between BioNTech and SCIENCE IN

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

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

Diversification Opportunities for BioNTech and SCIENCE IN

0.39

Correlation Coefficient

BioNTech  SCIENCE IN

Weak diversification

The 3 months correlation between BioNTech and SCIENCE is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding BioNTech SE and SCIENCE IN SPORT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCIENCE IN SPORT and BioNTech 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 BioNTech SE are associated (or correlated) with SCIENCE IN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCIENCE IN SPORT has no effect on the direction of BioNTech i.e., BioNTech and SCIENCE IN go up and down completely randomly.

Pair Corralation between BioNTech and SCIENCE IN

Assuming the 90 days trading horizon BioNTech is expected to generate 1.33 times less return on investment than SCIENCE IN. In addition to that, BioNTech is 2.23 times more volatile than SCIENCE IN SPORT. It trades about 0.03 of its total potential returns per unit of risk. SCIENCE IN SPORT is currently generating about 0.09 per unit of volatility. If you would invest  35.00  in SCIENCE IN SPORT on April 22, 2025 and sell it today you would earn a total of  2.00  from holding SCIENCE IN SPORT or generate 5.71% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	62.5%
Values	Daily Returns

BioNTech SE  vs.  SCIENCE IN SPORT

BioNTech SE

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in BioNTech SE are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, BioNTech may actually be approaching a critical reversion point that can send shares even higher in August 2025.

SCIENCE IN SPORT

Risk-Adjusted Performance

OK

Over the last 90 days SCIENCE IN SPORT has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly uncertain basic indicators, SCIENCE IN may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Pair Trading with BioNTech and SCIENCE IN

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

The idea behind BioNTech SE and SCIENCE IN SPORT 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.