Correlation Between Bank of America and UMF

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

Diversification Opportunities for Bank of America and UMF

-0.55

Correlation Coefficient

Bank of America  UMF

Excellent diversification

The 3 months correlation between Bank and UMF is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and UMF Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMF Group 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 UMF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UMF Group has no effect on the direction of Bank of America i.e., Bank of America and UMF go up and down completely randomly.

Pair Corralation between Bank of America and UMF

Considering the 90-day investment horizon Bank of America is expected to generate 93.13 times less return on investment than UMF. But when comparing it to its historical volatility, Bank of America is 32.4 times less risky than UMF. It trades about 0.05 of its potential returns per unit of risk. UMF Group is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest  0.13  in UMF Group on October 21, 2024 and sell it today you would earn a total of  1.37  from holding UMF Group or generate 1053.85% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	24.4%
Values	Daily Returns

Bank of America  vs.  UMF Group

Bank of America

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Bank of America are ranked lower than 9 (%) 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 February 2025.

UMF Group

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Bank of America and UMF

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

The idea behind Bank of America and UMF Group 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.