Correlation Between Agricultural Bank and Bank of America

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Agricultural Bank and Bank of America 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 Agricultural Bank and Bank of America into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agricultural Bank and Bank of America, you can compare the effects of market volatilities on Agricultural Bank and Bank of America 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 Agricultural Bank with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agricultural Bank and Bank of America.

Diversification Opportunities for Agricultural Bank and Bank of America

0.68
  Correlation Coefficient

Poor diversification

The 3 months correlation between Agricultural and Bank is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Agricultural Bank and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of America and Agricultural Bank 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 Agricultural Bank are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of America has no effect on the direction of Agricultural Bank i.e., Agricultural Bank and Bank of America go up and down completely randomly.

Pair Corralation between Agricultural Bank and Bank of America

Assuming the 90 days horizon Agricultural Bank is expected to generate 2.3 times more return on investment than Bank of America. However, Agricultural Bank is 2.3 times more volatile than Bank of America. It trades about 0.04 of its potential returns per unit of risk. Bank of America is currently generating about 0.02 per unit of risk. If you would invest  30.00  in Agricultural Bank on January 26, 2024 and sell it today you would earn a total of  14.00  from holding Agricultural Bank or generate 46.67% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy92.91%
ValuesDaily Returns

Agricultural Bank  vs.  Bank of America

 Performance 
       Timeline  
Agricultural Bank 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Agricultural Bank are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak fundamental drivers, Agricultural Bank reported solid returns over the last few months and may actually be approaching a breakup point.
Bank of America 

Risk-Adjusted Performance

13 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Bank of America are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, Bank of America exhibited solid returns over the last few months and may actually be approaching a breakup point.

Agricultural Bank and Bank of America Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Agricultural Bank and Bank of America

The main advantage of trading using opposite Agricultural Bank and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agricultural Bank position performs unexpectedly, Bank of America 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 Bank of America will offset losses from the drop in Bank of America's long position.
The idea behind Agricultural Bank and Bank of America pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

Other Complementary Tools

CEOs Directory
Screen CEOs from public companies around the world
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Top Crypto Exchanges
Search and analyze digital assets across top global cryptocurrency exchanges
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Funds Screener
Find actively-traded funds from around the world traded on over 30 global exchanges
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance