Bank of America's market value is the price at which a share of Bank of America trades on a public exchange. It measures the collective expectations of Bank of America investors about its performance. Bank of America is selling at 200.00 as of the 23rd of January 2026; that is No Change since the beginning of the trading day. The preferred stock's last reported lowest price was 200.0. With this module, you can estimate the performance of a buy and hold strategy of Bank of America and determine expected loss or profit from investing in Bank of America over a given investment horizon. Check out Bank of America Correlation, Bank of America Volatility and Bank of America Alpha and Beta module to complement your research on Bank of America. To learn how to invest in Bank Pink Sheet, please use our How to Invest in Bank of America guide.
Please note, there is a significant difference between Bank of America's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of America is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of America's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Bank of America 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Bank of America's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Bank of America.
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Bank of America's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Bank of America upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Bank of America's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Bank of America's standard deviation. In reality, there are many statistical measures that can use Bank of America historical prices to predict the future Bank of America's volatility.
Bank of America secures Sharpe Ratio (or Efficiency) of -0.0215, which signifies that the company had a -0.0215 % return per unit of risk over the last 3 months. Bank of America exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Bank of America's Standard Deviation of 3.15, risk adjusted performance of (0.01), and Mean Deviation of 0.9181 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.61, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Bank of America's returns are expected to increase less than the market. However, during the bear market, the loss of holding Bank of America is expected to be smaller as well. At this point, Bank of America has a negative expected return of -0.0699%. Please make sure to confirm Bank of America's variance, potential upside, as well as the relationship between the Potential Upside and day typical price , to decide if Bank of America performance from the past will be repeated at some point in the near future.
Auto-correlation
-0.06
Very weak reverse predictability
Bank of America has very weak reverse predictability. Overlapping area represents the amount of predictability between Bank of America time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Bank of America price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Bank of America price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.06
Spearman Rank Test
0.43
Residual Average
0.0
Price Variance
177.27
Pair Trading with Bank of America
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bank of America position performs unexpectedly, the other equity 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 appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Bank of America could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of America when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bank of America - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bank of America to buy it.
The correlation of Bank of America is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bank of America moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of America moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bank of America can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
When running Bank of America's price analysis, check to measure Bank of America's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bank of America is operating at the current time. Most of Bank of America's value examination focuses on studying past and present price action to predict the probability of Bank of America's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of America's price. Additionally, you may evaluate how the addition of Bank of America to your portfolios can decrease your overall portfolio volatility.