Correlation Between Bank of America and OSE Pharma
Can any of the company-specific risk be diversified away by investing in both Bank of America and OSE Pharma 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 OSE Pharma 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 OSE Pharma SA, you can compare the effects of market volatilities on Bank of America and OSE Pharma 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 OSE Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and OSE Pharma.
Diversification Opportunities for Bank of America and OSE Pharma
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and OSE is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and OSE Pharma SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OSE Pharma SA 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 OSE Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OSE Pharma SA has no effect on the direction of Bank of America i.e., Bank of America and OSE Pharma go up and down completely randomly.
Pair Corralation between Bank of America and OSE Pharma
Considering the 90-day investment horizon Bank of America is expected to generate 1.61 times less return on investment than OSE Pharma. But when comparing it to its historical volatility, Bank of America is 3.33 times less risky than OSE Pharma. It trades about 0.05 of its potential returns per unit of risk. OSE Pharma SA is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 636.00 in OSE Pharma SA on October 30, 2024 and sell it today you would earn a total of 5.00 from holding OSE Pharma SA or generate 0.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 98.21% |
| Values | Daily Returns |
Bank of America vs. OSE Pharma SA
Performance |
| Timeline |
| Bank of America |
| OSE Pharma SA |
Bank of America and OSE Pharma Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and OSE Pharma
The main advantage of trading using opposite Bank of America and OSE Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, OSE Pharma 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 OSE Pharma will offset losses from the drop in OSE Pharma's long position.| Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of | Bank of America vs. Nu Holdings | Bank of America vs. HSBC Holdings PLC |
| OSE Pharma vs. Innate Pharma | OSE Pharma vs. Quantum Genomics SA | OSE Pharma vs. Valneva SE | OSE Pharma vs. Poxel SA |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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