Correlation Between Bank of America and Schlumberger
Can any of the company-specific risk be diversified away by investing in both Bank of America and Schlumberger 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 Schlumberger 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 Schlumberger Limited, you can compare the effects of market volatilities on Bank of America and Schlumberger 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 Schlumberger. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Schlumberger.
Diversification Opportunities for Bank of America and Schlumberger
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Schlumberger is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Schlumberger Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schlumberger Limited 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 Schlumberger. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schlumberger Limited has no effect on the direction of Bank of America i.e., Bank of America and Schlumberger go up and down completely randomly.
Pair Corralation between Bank of America and Schlumberger
Assuming the 90 days trading horizon Bank of America is expected to generate 0.45 times more return on investment than Schlumberger. However, Bank of America is 2.22 times less risky than Schlumberger. It trades about 0.06 of its potential returns per unit of risk. Schlumberger Limited is currently generating about 0.01 per unit of risk. If you would invest 4,378 in Bank of America on September 26, 2024 and sell it today you would earn a total of 2,420 from holding Bank of America or generate 55.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.99% |
Values | Daily Returns |
Bank of America vs. Schlumberger Limited
Performance |
Timeline |
Bank of America |
Schlumberger Limited |
Bank of America and Schlumberger Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and Schlumberger
The main advantage of trading using opposite Bank of America and Schlumberger positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Schlumberger 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 Schlumberger will offset losses from the drop in Schlumberger's long position.Bank of America vs. JPMorgan Chase Co | Bank of America vs. Citigroup | Bank of America vs. UBS Group AG | Bank of America vs. N1RG34 |
Schlumberger vs. Bank of America | Schlumberger vs. Telecomunicaes Brasileiras SA | Schlumberger vs. Iron Mountain Incorporated | Schlumberger vs. Bread Financial Holdings |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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