Correlation Between Meta Platforms and Bank of America

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

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

Diversification Opportunities for Meta Platforms and Bank of America

0.24

Correlation Coefficient

Meta Platforms  Bank of America

Modest diversification

The 3 months correlation between Meta and Bank is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms CDR and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of America and Meta Platforms 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 Meta Platforms CDR are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of America has no effect on the direction of Meta Platforms i.e., Meta Platforms and Bank of America go up and down completely randomly.

Pair Corralation between Meta Platforms and Bank of America

Assuming the 90 days trading horizon Meta Platforms CDR is expected to generate 1.53 times more return on investment than Bank of America. However, Meta Platforms is 1.53 times more volatile than Bank of America. It trades about 0.13 of its potential returns per unit of risk. Bank of America is currently generating about -0.23 per unit of risk. If you would invest  3,102  in Meta Platforms CDR on September 23, 2024 and sell it today you would earn a total of  147.00  from holding Meta Platforms CDR or generate 4.74% return on investment over 90 days.

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

Meta Platforms CDR  vs.  Bank of America

Meta Platforms CDR

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Meta Platforms CDR are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound technical and fundamental indicators, Meta Platforms is not utilizing all of its potentials. The recent stock price tumult, may contribute to shorter-term losses for the shareholders.

Bank of America

Risk-Adjusted Performance

8 of 100

OK

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 abnormal technical and fundamental indicators, Bank of America may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with Meta Platforms and Bank of America

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

The idea behind Meta Platforms CDR and Bank of America 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.