Correlation Between Bank of America and Orca

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

Diversification Opportunities for Bank of America and Orca

0.35

Correlation Coefficient

Bank of America  Orca

Weak diversification

The 3 months correlation between Bank and Orca is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Orca in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orca 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 Orca. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orca has no effect on the direction of Bank of America i.e., Bank of America and Orca go up and down completely randomly.

Pair Corralation between Bank of America and Orca

Considering the 90-day investment horizon Bank of America is expected to generate 6.03 times less return on investment than Orca. But when comparing it to its historical volatility, Bank of America is 6.51 times less risky than Orca. It trades about 0.07 of its potential returns per unit of risk. Orca is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  87.00  in Orca on December 28, 2024 and sell it today you would earn a total of  176.00  from holding Orca or generate 202.3% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	96.68%
Values	Daily Returns

Bank of America  vs.  Orca

Bank of America

Risk-Adjusted Performance

Very Weak

Over the last 90 days Bank of America has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, Bank of America is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Orca

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Orca are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Orca exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Bank of America and Orca

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

The idea behind Bank of America and Orca 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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.