Correlation Between Bank of America and MongoDB

Can any of the company-specific risk be diversified away by investing in both Bank of America and MongoDB 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 MongoDB 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 MongoDB, you can compare the effects of market volatilities on Bank of America and MongoDB 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 MongoDB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and MongoDB.

Diversification Opportunities for Bank of America and MongoDB

0.59

Correlation Coefficient

Bank of America  MongoDB

Very weak diversification

The 3 months correlation between Bank and MongoDB is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and MongoDB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MongoDB 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 MongoDB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MongoDB has no effect on the direction of Bank of America i.e., Bank of America and MongoDB go up and down completely randomly.

Pair Corralation between Bank of America and MongoDB

Considering the 90-day investment horizon Bank of America is expected to generate 1.03 times less return on investment than MongoDB. But when comparing it to its historical volatility, Bank of America is 1.77 times less risky than MongoDB. It trades about 0.15 of its potential returns per unit of risk. MongoDB is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  28,320  in MongoDB on September 3, 2024 and sell it today you would earn a total of  4,195  from holding MongoDB or generate 14.81% return on investment over 90 days.

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

Bank of America  vs.  MongoDB

Bank of America

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Bank of America are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of rather fragile basic indicators, Bank of America exhibited solid returns over the last few months and may actually be approaching a breakup point.

MongoDB

Risk-Adjusted Performance

7 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in MongoDB are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady fundamental indicators, MongoDB sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Bank of America and MongoDB

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

The idea behind Bank of America and MongoDB 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.