Correlation Between Bank of America and Oxford Industries
Can any of the company-specific risk be diversified away by investing in both Bank of America and Oxford Industries 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 Oxford Industries 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 Oxford Industries, you can compare the effects of market volatilities on Bank of America and Oxford Industries 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 Oxford Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Oxford Industries.
Diversification Opportunities for Bank of America and Oxford Industries
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Oxford is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Oxford Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oxford Industries 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 Oxford Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oxford Industries has no effect on the direction of Bank of America i.e., Bank of America and Oxford Industries go up and down completely randomly.
Pair Corralation between Bank of America and Oxford Industries
Considering the 90-day investment horizon Bank of America is expected to generate 0.8 times more return on investment than Oxford Industries. However, Bank of America is 1.25 times less risky than Oxford Industries. It trades about 0.25 of its potential returns per unit of risk. Oxford Industries is currently generating about -0.03 per unit of risk. If you would invest 3,968 in Bank of America on August 30, 2024 and sell it today you would earn a total of 809.00 from holding Bank of America or generate 20.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Oxford Industries
Performance |
| Timeline |
| Bank of America |
| Oxford Industries |
Bank of America and Oxford Industries Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Oxford Industries
The main advantage of trading using opposite Bank of America and Oxford Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Oxford Industries 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 Oxford Industries will offset losses from the drop in Oxford Industries' long position.| Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Royal Bank of | Bank of America vs. Nu Holdings |
| Oxford Industries vs. G III Apparel Group | Oxford Industries vs. Ermenegildo Zegna NV | Oxford Industries vs. Kontoor Brands | Oxford Industries vs. Columbia Sportswear |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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