Correlation Between Bank of America and Mountain Commerce
Can any of the company-specific risk be diversified away by investing in both Bank of America and Mountain Commerce 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 Mountain Commerce 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 Mountain Commerce Bancorp, you can compare the effects of market volatilities on Bank of America and Mountain Commerce 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 Mountain Commerce. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Mountain Commerce.
Diversification Opportunities for Bank of America and Mountain Commerce
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Mountain is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Mountain Commerce Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mountain Commerce Bancorp 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 Mountain Commerce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mountain Commerce Bancorp has no effect on the direction of Bank of America i.e., Bank of America and Mountain Commerce go up and down completely randomly.
Pair Corralation between Bank of America and Mountain Commerce
Considering the 90-day investment horizon Bank of America is expected to generate 2.0 times more return on investment than Mountain Commerce. However, Bank of America is 2.0 times more volatile than Mountain Commerce Bancorp. It trades about 0.18 of its potential returns per unit of risk. Mountain Commerce Bancorp is currently generating about 0.15 per unit of risk. If you would invest 4,455 in Bank of America on October 26, 2024 and sell it today you would earn a total of 184.00 from holding Bank of America or generate 4.13% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank of America vs. Mountain Commerce Bancorp
Performance |
| Timeline |
| Bank of America |
| Mountain Commerce Bancorp |
Bank of America and Mountain Commerce Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Mountain Commerce
The main advantage of trading using opposite Bank of America and Mountain Commerce positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Mountain Commerce 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 Mountain Commerce will offset losses from the drop in Mountain Commerce'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 |
| Mountain Commerce vs. Community Heritage Financial | Mountain Commerce vs. National Capital Bank | Mountain Commerce vs. Pioneer Bankcorp | Mountain Commerce vs. Liberty Northwest Bancorp |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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