Correlation Between Bank of America and Grand River
Can any of the company-specific risk be diversified away by investing in both Bank of America and Grand River 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 Grand River 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 Grand River Commerce, you can compare the effects of market volatilities on Bank of America and Grand River 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 Grand River. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Grand River.
Diversification Opportunities for Bank of America and Grand River
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bank and Grand is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Grand River Commerce in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grand River Commerce 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 Grand River. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grand River Commerce has no effect on the direction of Bank of America i.e., Bank of America and Grand River go up and down completely randomly.
Pair Corralation between Bank of America and Grand River
Considering the 90-day investment horizon Bank of America is expected to generate 0.65 times more return on investment than Grand River. However, Bank of America is 1.54 times less risky than Grand River. It trades about 0.08 of its potential returns per unit of risk. Grand River Commerce is currently generating about -0.02 per unit of risk. If you would invest 2,660 in Bank of America on November 27, 2024 and sell it today you would earn a total of 1,786 from holding Bank of America or generate 67.14% 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. Grand River Commerce
Performance |
| Timeline |
| Bank of America |
| Grand River Commerce |
Bank of America and Grand River Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Grand River
The main advantage of trading using opposite Bank of America and Grand River positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Grand River 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 Grand River will offset losses from the drop in Grand River's long position.| Bank of America vs. Citigroup | Bank of America vs. Wells Fargo | Bank of America vs. Toronto Dominion Bank | Bank of America vs. Royal Bank of |
| Grand River vs. FS Bancorp | Grand River vs. Eastern Michigan Financial | Grand River vs. Bank of Botetourt | Grand River vs. FNB Inc |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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