Correlation Between Bank of America and SCOR SE

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

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

Diversification Opportunities for Bank of America and SCOR SE

0.66

Correlation Coefficient

Bank of America  SCOR SE

Poor diversification

The 3 months correlation between Bank and SCOR is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and SCOR SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCOR SE and Bank of America 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 Bank of America are associated (or correlated) with SCOR SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCOR SE has no effect on the direction of Bank of America i.e., Bank of America and SCOR SE go up and down completely randomly.

Pair Corralation between Bank of America and SCOR SE

Considering the 90-day investment horizon Bank of America is expected to generate 1.34 times more return on investment than SCOR SE. However, Bank of America is 1.34 times more volatile than SCOR SE. It trades about 0.11 of its potential returns per unit of risk. SCOR SE is currently generating about 0.12 per unit of risk. If you would invest  4,064  in Bank of America on September 19, 2024 and sell it today you would earn a total of  441.00  from holding Bank of America or generate 10.85% return on investment over 90 days.

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

Bank of America  vs.  SCOR SE

Bank of America

Risk-Adjusted Performance

8 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Bank of America are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Bank of America may actually be approaching a critical reversion point that can send shares even higher in January 2025.

SCOR SE

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in SCOR SE are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady basic indicators, SCOR SE may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Bank of America and SCOR SE

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

The idea behind Bank of America and SCOR 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.

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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.