Bank Of America Stock Piotroski F Score

BAC Stock  USD 36.01  0.60  1.69%   
This module uses fundamental data of Bank of America to approximate its Piotroski F score. Bank of America F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Bank Of America. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Bank of America financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Bank of America Altman Z Score, Bank of America Correlation, Bank of America Valuation, as well as analyze Bank of America Alpha and Beta and Bank of America Hype Analysis.
For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.
  
At present, Bank of America's Long Term Debt Total is projected to decrease significantly based on the last few years of reporting. The current year's Long Term Debt To Capitalization is expected to grow to 0.58, whereas Short and Long Term Debt Total is forecasted to decline to about 241.9 B. At present, Bank of America's Price Earnings Ratio is projected to decrease significantly based on the last few years of reporting. The current year's Dividend Yield is expected to grow to 0.04, whereas Price To Sales Ratio is forecasted to decline to 2.19.
At this time, it appears that Bank of America's Piotroski F Score is Healthy. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
6.0
Piotroski F Score - Healthy
Current Return On Assets

Positive

Focus
Change in Return on Assets

Increased

Focus
Cash Flow Return on Assets

Positive

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

Increase

Focus
Current Ratio Change

Decrease

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

No Change

Focus

Bank of America Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Bank of America is to make sure Bank is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Bank of America's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Bank of America's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Return On Assets0.00950.0083
Moderately Up
Slightly volatile
Asset Turnover0.04710.0296
Way Up
Slightly volatile
Total Current LiabilitiesT958.6 B
Sufficiently Up
Slightly volatile
Non Current Liabilities Total991.7 B1.9 T
Way Down
Very volatile
Total Assets1.7 T3.2 T
Way Down
Slightly volatile
Total Current AssetsT981 B
Sufficiently Up
Slightly volatile

Bank Of America F Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Bank of America's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Bank of America in a much-optimized way.

About Bank of America Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Common Stock Shares Outstanding

6.73 Billion

At present, Bank of America's Common Stock Shares Outstanding is projected to decrease significantly based on the last few years of reporting.

Bank of America ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Bank of America's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Bank of America's managers, analysts, and investors.
Environment Score
Governance Score
Social Score

About Bank of America Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Bank Of America's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of America using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank Of America based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Bank of America Corporation, through its subsidiaries, provides banking and financial products and services for individual consumers, small and middle-market businesses, institutional investors, large corporations, and governments worldwide. The company was founded in 1784 and is based in Charlotte, North Carolina. B of A operates under BanksDiversified classification in the United States and is traded on New York Stock Exchange. It employs 213000 people.

Bank of America Investors Sentiment

The influence of Bank of America'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 Bank. 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 market does not have solid backing from leading economists and market statisticians.
Investor biases related to Bank of America's public news can be used to forecast risks associated with an investment in Bank. The trend in average sentiment can be used to explain how an investor holding Bank can time the market purely based on public headlines and social activities around Bank Of America. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Bank of America'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 Bank of America'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 Bank of America's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Bank of America.

Bank of America Implied Volatility

    
  34.53  
Bank of America'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 Bank of America'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 Bank of America stock will not fluctuate a lot when Bank of America'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 Bank of America 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, Bank of America's short interest history, or implied volatility extrapolated from Bank of America options trading.

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.

Moving together with Bank Stock

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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 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 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.
Pair CorrelationCorrelation Matching
When determining whether Bank Of America offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Bank of America's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Bank Of America Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Bank Of America Stock:
Check out Bank of America Altman Z Score, Bank of America Correlation, Bank of America Valuation, as well as analyze Bank of America Alpha and Beta and Bank of America Hype Analysis.
For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.
Note that the Bank Of America information on this page should be used as a complementary analysis to other Bank of America'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 the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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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.
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Is Bank of America'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 Bank of America. If investors know Bank 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 Bank of America 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
(0.61)
Dividend Share
0.92
Earnings Share
3.08
Revenue Per Share
11.731
Quarterly Revenue Growth
(0.11)
The market value of Bank Of America is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of America's value that differs from its market value or its book value, called intrinsic value, which is Bank of America'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 Bank of America's market value can be influenced by many factors that don't directly affect Bank of America'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 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.