Correlation Between Intel and Bank of America

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

Diversification Opportunities for Intel and Bank of America

-0.65

Correlation Coefficient

Intel  Bank of America

Excellent diversification

The 3 months correlation between Intel and Bank is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Intel 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 Intel 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 Intel 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 Intel i.e., Intel and Bank of America go up and down completely randomly.

Pair Corralation between Intel and Bank of America

Assuming the 90 days trading horizon Intel is expected to under-perform the Bank of America. In addition to that, Intel is 2.09 times more volatile than Bank of America. It trades about -0.08 of its total potential returns per unit of risk. Bank of America is currently generating about -0.03 per unit of volatility. If you would invest  4,740  in Bank of America on October 26, 2024 and sell it today you would lose (80.00) from holding Bank of America or give up 1.69% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	77.42%
Values	Daily Returns

Intel  vs.  Bank of America

Intel

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Intel has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong forward indicators, Intel is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.

Bank of America

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Bank of America are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of very inconsistent primary indicators, Bank of America displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Intel and Bank of America

The main advantage of trading using opposite Intel and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel 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 Intel 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.