Correlation Between Bank of America and Agricultural Bank
Can any of the company-specific risk be diversified away by investing in both Bank of America and Agricultural Bank 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 Agricultural Bank 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 Agricultural Bank, you can compare the effects of market volatilities on Bank of America and Agricultural Bank 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 Agricultural Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of America and Agricultural Bank.
Diversification Opportunities for Bank of America and Agricultural Bank
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Agricultural is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Bank of America and Agricultural Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agricultural Bank 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 Agricultural Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agricultural Bank has no effect on the direction of Bank of America i.e., Bank of America and Agricultural Bank go up and down completely randomly.
Pair Corralation between Bank of America and Agricultural Bank
Assuming the 90 days trading horizon Bank of America is expected to generate 6.36 times less return on investment than Agricultural Bank. But when comparing it to its historical volatility, Bank of America is 9.62 times less risky than Agricultural Bank. It trades about 0.09 of its potential returns per unit of risk. Agricultural Bank is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 29.00 in Agricultural Bank on August 23, 2024 and sell it today you would earn a total of 18.00 from holding Agricultural Bank or generate 62.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 64.72% |
| Values | Daily Returns |
Bank of America vs. Agricultural Bank
Performance |
| Timeline |
| Bank of America |
| Agricultural Bank |
Bank of America and Agricultural Bank Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank of America and Agricultural Bank
The main advantage of trading using opposite Bank of America and Agricultural Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of America position performs unexpectedly, Agricultural Bank 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 Agricultural Bank will offset losses from the drop in Agricultural Bank's long position.| Bank of America vs. Bank of America | Bank of America vs. Wells Fargo | Bank of America vs. Bank of America | Bank of America vs. China Construction Bank |
| Agricultural Bank vs. China Construction Bank | Agricultural Bank vs. National Australia Bank | Agricultural Bank vs. Svenska Handelsbanken AB | Agricultural Bank vs. Bank of America |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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