Bank Financial Statements From 2010 to 2025
| BOFA Stock | 21.82 0.32 1.49% |
Check Bank of AmericaCDR financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bank of AmericaCDR's main balance sheet or income statement drivers, such as , as well as many indicators such as . Bank financial statements analysis is a perfect complement when working with Bank of AmericaCDR Valuation or Volatility modules.
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Bank of America Company Operating Margin Analysis
Bank of AmericaCDR's Operating Margin shows how much operating income a company makes on each dollar of sales. It is one of the profitability indicators which helps analysts to understand whether the firm is successful or not making money from everyday operations.
Current Bank of AmericaCDR Operating Margin | 0.30 % |
Most of Bank of AmericaCDR's fundamental indicators, such as Operating Margin, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Bank of America is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
A good Operating Margin is required for a company to be able to pay for its fixed costs or payout its debt, which implies that the higher the margin, the better. This ratio is most effective in evaluating the earning potential of a company over time when comparing it against a firm's competitors.
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Based on the recorded statements, Bank of America has an Operating Margin of 0.2975%. This is 98.39% lower than that of the Banks sector and significantly higher than that of the Financials industry. The operating margin for all Canada stocks is 105.4% lower than that of the firm.
Bank of AmericaCDR Fundamental Drivers Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Bank of AmericaCDR's current stock value. Our valuation model uses many indicators to compare Bank of AmericaCDR value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Bank of AmericaCDR competition to find correlations between indicators driving Bank of AmericaCDR's intrinsic value. More Info.Bank of America is number one stock in return on equity category among its peers. It also is number one stock in return on asset category among its peers reporting about 0.09 of Return On Asset per Return On Equity. The ratio of Return On Equity to Return On Asset for Bank of America is roughly 11.00 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Bank of AmericaCDR's earnings, one of the primary drivers of an investment's value.About Bank of AmericaCDR Financial Statements
Bank of AmericaCDR stakeholders use historical fundamental indicators, such as Bank of AmericaCDR's revenue or net income, to determine how well the company is positioned to perform in the future. Although Bank of AmericaCDR investors may analyze each financial statement separately, they are all interrelated. For example, changes in Bank of AmericaCDR's assets and liabilities are reflected in the revenues and expenses on Bank of AmericaCDR's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Bank of America. Please read more on our technical analysis and fundamental analysis pages.
Pair Trading with Bank of AmericaCDR
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 AmericaCDR 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 AmericaCDR will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Stock
Moving against Bank Stock
The ability to find closely correlated positions to Bank of AmericaCDR 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 AmericaCDR 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 AmericaCDR - 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 AmericaCDR 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 AmericaCDR moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of AmericaCDR 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 AmericaCDR 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.Check out the analysis of Bank of AmericaCDR Correlation against competitors. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.