Correlation Between Bank of America and DXC Technology
Can any of the company-specific risk be diversified away by investing in both Bank of America and DXC Technology 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 DXC Technology 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 DXC Technology, you can compare the effects of market volatilities on Bank of America and DXC Technology 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 DXC Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and DXC Technology.
Diversification Opportunities for Bank of America and DXC Technology
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and DXC is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and DXC Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DXC Technology 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 DXC Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DXC Technology has no effect on the direction of Bank of America i.e., Bank of America and DXC Technology go up and down completely randomly.
Pair Corralation between Bank of America and DXC Technology
Assuming the 90 days trading horizon Bank of America is expected to generate 1.12 times less return on investment than DXC Technology. But when comparing it to its historical volatility, Bank of America is 1.9 times less risky than DXC Technology. It trades about 0.22 of its potential returns per unit of risk. DXC Technology is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 10,679 in DXC Technology on October 8, 2024 and sell it today you would earn a total of 2,761 from holding DXC Technology or generate 25.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. DXC Technology
Performance |
Timeline |
Bank of America |
DXC Technology |
Bank of America and DXC Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and DXC Technology
The main advantage of trading using opposite Bank of America and DXC Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, DXC Technology 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 DXC Technology will offset losses from the drop in DXC Technology's long position.Bank of America vs. Unity Software | Bank of America vs. MAHLE Metal Leve | Bank of America vs. Beyond Meat | Bank of America vs. DENTSPLY SIRONA |
DXC Technology vs. Palantir Technologies | DXC Technology vs. Unifique Telecomunicaes SA | DXC Technology vs. Seagate Technology Holdings | DXC Technology vs. Marvell Technology |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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