Correlation Between Bank of America and OceanFirst Financial
Can any of the company-specific risk be diversified away by investing in both Bank of America and OceanFirst Financial 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 OceanFirst Financial 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 OceanFirst Financial Corp, you can compare the effects of market volatilities on Bank of America and OceanFirst Financial 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 OceanFirst Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and OceanFirst Financial.
Diversification Opportunities for Bank of America and OceanFirst Financial
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and OceanFirst is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and OceanFirst Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OceanFirst Financial Corp 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 OceanFirst Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OceanFirst Financial Corp has no effect on the direction of Bank of America i.e., Bank of America and OceanFirst Financial go up and down completely randomly.
Pair Corralation between Bank of America and OceanFirst Financial
Assuming the 90 days trading horizon Bank of America is expected to under-perform the OceanFirst Financial. In addition to that, Bank of America is 3.33 times more volatile than OceanFirst Financial Corp. It trades about 0.0 of its total potential returns per unit of risk. OceanFirst Financial Corp is currently generating about 0.14 per unit of volatility. If you would invest 2,482 in OceanFirst Financial Corp on December 30, 2024 and sell it today you would earn a total of 48.00 from holding OceanFirst Financial Corp or generate 1.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of America vs. OceanFirst Financial Corp
Performance |
Timeline |
Bank of America |
OceanFirst Financial Corp |
Bank of America and OceanFirst Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of America and OceanFirst Financial
The main advantage of trading using opposite Bank of America and OceanFirst Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, OceanFirst Financial 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 OceanFirst Financial will offset losses from the drop in OceanFirst Financial's long position.Bank of America vs. Bank of America | Bank of America vs. Wells Fargo | Bank of America vs. Capital One Financial | Bank of America vs. Capital One Financial |
OceanFirst Financial vs. Pinnacle Financial Partners | OceanFirst Financial vs. Dime Community Bancshares | OceanFirst Financial vs. Wintrust Financial Corp |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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