Correlation Between Bank of America and Raytheon Technologies
Can any of the company-specific risk be diversified away by investing in both Bank of America and Raytheon Technologies 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 Raytheon Technologies 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 Raytheon Technologies, you can compare the effects of market volatilities on Bank of America and Raytheon Technologies 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 Raytheon Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Raytheon Technologies.
Diversification Opportunities for Bank of America and Raytheon Technologies
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Raytheon is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Raytheon Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Raytheon Technologies 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 Raytheon Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Raytheon Technologies has no effect on the direction of Bank of America i.e., Bank of America and Raytheon Technologies go up and down completely randomly.
Pair Corralation between Bank of America and Raytheon Technologies
Assuming the 90 days trading horizon Bank of America is expected to generate 0.99 times more return on investment than Raytheon Technologies. However, Bank of America is 1.01 times less risky than Raytheon Technologies. It trades about 0.06 of its potential returns per unit of risk. Raytheon Technologies is currently generating about 0.05 per unit of risk. If you would invest 4,524 in Bank of America on October 7, 2024 and sell it today you would earn a total of 2,335 from holding Bank of America or generate 51.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.57% |
Values | Daily Returns |
Bank of America vs. Raytheon Technologies
Performance |
Timeline |
Bank of America |
Raytheon Technologies |
Bank of America and Raytheon Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Raytheon Technologies
The main advantage of trading using opposite Bank of America and Raytheon Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Raytheon Technologies 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 Raytheon Technologies will offset losses from the drop in Raytheon Technologies' long position.Bank of America vs. Energisa SA | Bank of America vs. BTG Pactual Logstica | Bank of America vs. Plano Plano Desenvolvimento | Bank of America vs. Ares Management |
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Check out your portfolio center.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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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