B of A Stock Market Value

BAC
 Stock
  

USD 36.86  0.99  2.62%   

B of A's market value is the price at which a share of B of A stock trades on a public exchange. It measures the collective expectations of Bank Of America investors about the entity's future performance. 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 B of A over a given investment horizon. Continue to B of A Correlation, B of A Volatility and B of A Alpha and Beta module to complement your research on B of A.
Symbol


Is B of A's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of B of A. If investors know B of A will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about B of A listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
(0.047) 
Market Capitalization
303.6 B
Quarterly Revenue Growth YOY
0.009
Return On Assets
0.0089
Return On Equity
0.1
The market value of Bank Of America is measured differently than its book value, which is the value of B of A that is recorded on the company's balance sheet. Investors also form their own opinion of B of A's value that differs from its market value or its book value, called intrinsic value, which is B of A's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because B of A's market value can be influenced by many factors that don't directly affect B of A's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between B of A's value and its price as these two are different measures arrived at by different means. Investors typically determine B of A value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, B of A'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.

B of A '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 B of A's stock 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 B of A.
0.00
11/01/2022
No Change 0.00  0.0 
In 30 days
12/01/2022
0.00
If you would invest  0.00  in B of A on November 1, 2022 and sell it all today you would earn a total of 0.00 from holding Bank Of America or generate 0.0% return on investment in B of A over 30 days. B of A is related to or competes with Citigroup, JPMorgan Chase, Merck, 3M, Alcoa Corp, Verizon Communications, and International Business. Bank of America Corporation, through its subsidiaries, provides banking and financial products and services for individu... More

B of A Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure B of A's stock 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.

B of A Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for B of A's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as B of A's standard deviation. In reality, there are many statistical measures that can use B of A historical prices to predict the future B of A's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of B of A's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of B of A in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
35.7237.8039.88
Details
Intrinsic
Valuation
LowReal ValueHigh
34.0743.5345.61
Details
15 Analysts
Consensus
LowTarget PriceHigh
40.0051.1164.00
Details
Earnings
Estimates (11)
LowProjected EPSHigh
3.363.493.53
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as B of A. Your research has to be compared to or analyzed against B of A's peers to derive any actionable benefits. When done correctly, B of A's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Bank Of America.

Bank Of America Backtested Returns

B of A appears to be very steady, given 3 months investment horizon. Bank Of America secures Sharpe Ratio (or Efficiency) of 0.11, which signifies that the company had 0.11% of return per unit of risk over the last 3 months. Our standpoint towards foreseeing the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Bank Of America, which you can use to evaluate the future volatility of the firm. Please makes use of B of A's Risk Adjusted Performance of 0.1464, downside deviation of 1.73, and Mean Deviation of 1.5 to double-check if our risk estimates are consistent with your expectations.
On a scale of 0 to 100, B of A holds a performance score of 8. The firm shows a Beta (market volatility) of 1.1527, which signifies a somewhat significant risk relative to the market. Let's try to break down what B of A's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, B of A will likely underperform. Although it is important to respect Bank Of America historical returns, it is better to be realistic regarding the information on the equity's current trending patterns. The philosophy towards foreseeing future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By analyzing Bank Of America technical indicators, you can presently evaluate if the expected return of 0.22% will be sustainable into the future. Please makes use of Bank Of America maximum drawdown, semi variance, and the relationship between the jensen alpha and potential upside to make a quick decision on whether B of A price patterns will revert.

Auto-correlation

    
  -0.19  

Insignificant reverse predictability

Bank Of America has insignificant reverse predictability. Overlapping area represents the amount of predictability between B of A time series from 1st of November 2022 to 16th of November 2022 and 16th of November 2022 to 1st of December 2022. 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 -0.19 indicates that over 19.0% of current B of A price fluctuation can be explain by its past prices.
Correlation Coefficient-0.19
Spearman Rank Test0.24
Residual Average0.0
Price Variance0.09

Bank Of America lagged returns against current returns

Autocorrelation, which is B of A stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting B of A's stock expected returns. We can calculate the autocorrelation of B of A returns to help us make a trade decision. For example, suppose you find that B of A stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
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       Timeline  

B of A regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If B of A stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if B of A stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in B of A stock over time.
   Current vs Lagged Prices   
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       Timeline  

B of A Lagged Returns

When evaluating B of A's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of B of A stock have on its future price. B of A autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, B of A autocorrelation shows the relationship between B of A stock current value and its past values and can show if there is a momentum factor associated with investing in Bank Of America.
   Regressed Prices   
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       Timeline  

B of A Investors Sentiment

The influence of B of A's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in B of A. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to B of A's public news can be used to forecast risks associated with investment in B of A. The trend in average sentiment can be used to explain how an investor holding B of A can time the market purely based on public headlines and social activities around Bank Of America. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
B of A's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for B of A's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average B of A's news discussions. The higher the estimated score, the more favorable is the investor's outlook on B of A.

B of A Implied Volatility

    
  52.0  
B of A's implied volatility exposes the market's sentiment of Bank Of America stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if B of A's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that B of A stock will not fluctuate a lot when B of A's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards B of A in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, B of A's short interest history, or implied volatility extrapolated from B of A options trading.

Pair Trading with B of A

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 B of A 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 B of A will appreciate offsetting losses from the drop in the long position's value.

Moving together with B of A

+0.71CCitigroup Fiscal Year End 13th of January 2023 PairCorr
+0.98JPMJPMorgan Chase Fiscal Year End 13th of January 2023 PairCorr
+0.84TDToronto Dominion Bank Earnings Call  TodayPairCorr
+0.97WFCWells Fargo Fiscal Year End 13th of January 2023 PairCorr
The ability to find closely correlated positions to B of A could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace B of A 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 B of A - 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 B of A is a statistical measure of how it moves in relation to other equities. 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 B of A 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 B of A 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.
Pair CorrelationCorrelation Matching
Continue to B of A Correlation, B of A Volatility and B of A Alpha and Beta module to complement your research on B of A. Note that the Bank Of America information on this page should be used as a complementary analysis to other B of A's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Money Managers module to screen money managers from public funds and ETFs managed around the world.

Complementary Tools for B of A Stock analysis

When running Bank Of America price analysis, check to measure B of A'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 B of A is operating at the current time. Most of B of A's value examination focuses on studying past and present price action to predict the probability of B of A's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move B of A's price. Additionally, you may evaluate how the addition of B of A to your portfolios can decrease your overall portfolio volatility.
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B of A technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of B of A technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of B of A trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...