Correlation Between SSMTF and BioNTech

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

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

Diversification Opportunities for SSMTF and BioNTech

0.0

Correlation Coefficient

SSMTF  BioNTech

Pay attention - limited upside

The 3 months correlation between SSMTF and BioNTech is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding SSMTF and BioNTech SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BioNTech SE and SSMTF 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 SSMTF 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 SSMTF i.e., SSMTF and BioNTech go up and down completely randomly.

Pair Corralation between SSMTF and BioNTech

If you would invest  0.15  in SSMTF on December 20, 2024 and sell it today you would earn a total of  0.00  from holding SSMTF or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	93.75%
Values	Daily Returns

SSMTF  vs.  BioNTech SE

SSMTF

Risk-Adjusted Performance

Very Weak

Over the last 90 days SSMTF has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, SSMTF is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.

BioNTech SE

Risk-Adjusted Performance

Very Weak

Over the last 90 days BioNTech SE has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain fairly strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with SSMTF and BioNTech

The main advantage of trading using opposite SSMTF and BioNTech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SSMTF 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 SSMTF 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.