Bank Of America Stock Year To Date Return
| BOFA Stock | 22.99 0.46 2.04% |
Bank of America fundamentals help investors to digest information that contributes to Bank of America's financial success or failures. It also enables traders to predict the movement of Bank Stock. The fundamental analysis module provides a way to measure Bank of America's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Bank of America stock.
Bank | Year To Date Return |
Bank of America Company Year To Date Return Analysis
Bank of America's Year to Date Return (YTD) is the total return generated from holding a security from the beginning of the current fiscal year. In other words, YTD Return represents the capital appreciation of your investments from the start of the current fiscal year.
More About Year To Date Return | All Equity Analysis
YTD Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Year-To-Date typically refers to a period starting from the beginning of the current year and continuing up to the present day. Investors should becareful when comparing YTD ratios if not much of the year has occurred as research shows that YTD measures are more sensitive to early periods than late.
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In accordance with the company's disclosures, Bank of America has a Year To Date Return of 0.0%. This indicator is about the same for the Banks average (which is currently at 0.0) sector and about the same as Financials (which currently averages 0.0) industry. This indicator is about the same for all Canada stocks average (which is currently at 0.0).
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Bank Fundamentals
| Return On Equity | 0.0809 | ||||
| Return On Asset | 0.0073 | ||||
| Profit Margin | 0.25 % | ||||
| Operating Margin | 0.31 % | ||||
| Current Valuation | 172.95 B | ||||
| Shares Outstanding | 20.15 B | ||||
| Price To Book | 1.19 X | ||||
| Price To Sales | 5.09 X | ||||
| Revenue | 98.58 B | ||||
| Gross Profit | 92.41 B | ||||
| Net Income | 26.52 B | ||||
| Total Debt | 32.1 B | ||||
| Book Value Per Share | 35.37 X | ||||
| Cash Flow From Operations | 43.26 B | ||||
| Earnings Per Share | 1.50 X | ||||
| Price To Earnings To Growth | 1.87 X | ||||
| Number Of Employees | 213 K | ||||
| Beta | 1.33 | ||||
| Market Capitalization | 481.38 B | ||||
| Total Asset | 3.18 T | ||||
| Retained Earnings | 224.67 B | ||||
| Annual Yield | 0.02 % | ||||
| Net Asset | 3.18 T | ||||
| Last Dividend Paid | 0.98 |
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.
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
Moving against 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 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of America. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. For information on how to trade Bank Stock refer to our How to Trade Bank Stock guide.You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.