Correlation Between Bank of America and ORACLE

Can any of the company-specific risk be diversified away by investing in both Bank of America and ORACLE 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 ORACLE 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 ORACLE P 385, you can compare the effects of market volatilities on Bank of America and ORACLE 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 ORACLE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and ORACLE.

Diversification Opportunities for Bank of America and ORACLE

-0.16

Correlation Coefficient

Bank of America  ORACLE

Good diversification

The 3 months correlation between Bank and ORACLE is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and ORACLE P 385 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ORACLE P 385 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 ORACLE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ORACLE P 385 has no effect on the direction of Bank of America i.e., Bank of America and ORACLE go up and down completely randomly.

Pair Corralation between Bank of America and ORACLE

Considering the 90-day investment horizon Bank of America is expected to under-perform the ORACLE. In addition to that, Bank of America is 1.55 times more volatile than ORACLE P 385. It trades about -0.05 of its total potential returns per unit of risk. ORACLE P 385 is currently generating about -0.07 per unit of volatility. If you would invest  8,603  in ORACLE P 385 on December 30, 2024 and sell it today you would lose (433.00) from holding ORACLE P 385 or give up 5.03% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.41%
Values	Daily Returns

Bank of America  vs.  ORACLE P 385

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.

ORACLE P 385

Risk-Adjusted Performance

Very Weak

Over the last 90 days ORACLE P 385 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, ORACLE is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Bank of America and ORACLE

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

The idea behind Bank of America and ORACLE P 385 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 Transaction History module to view history of all your transactions and understand their impact on performance.