Thomas Scrivener - Bank of America Chief Exec
| BAC-PN Preferred Stock | USD 22.45 0.34 1.49% |
Insider
Thomas Scrivener is Chief Exec of Bank of America
| Age | 51 |
| Phone | 704 386 5681 |
| Web | https://www.bankofamerica.com |
Bank of America Management Efficiency
Bank of America's management efficiency ratios could be used to measure how well Bank of America manages its routine affairs as well as how well it operates its assets and liabilities.Similar Executives
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| Brian Moynihan | Bank of America | 64 | |
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Management Performance
| Return On Equity | 0.1 | ||||
| Return On Asset | 0.0089 |
Bank of America Leadership Team
Elected by the shareholders, the Bank of America's board of directors comprises two types of representatives: Bank of America inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Bank. The board's role is to monitor Bank of America's management team and ensure that shareholders' interests are well served. Bank of America's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Bank of America's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Rudolf Bless, Chief Officer | ||
| Aditya Bhasin, Chief Officer | ||
| Brian Moynihan, Chairman CEO | ||
| Paul Donofrio, Vice Chairman | ||
| Alastair Borthwick, Chief Officer | ||
| Darrin Boland, Chief Officer | ||
| James DeMare, Ex Markets | ||
| Matthew Koder, Exec Banking | ||
| Thomas Scrivener, Chief Exec | ||
| Christopher Hyzy, Chief Officer |
Bank Preferred Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right preferred stock is not an easy task. Is Bank of America a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Return On Equity | 0.1 | ||||
| Return On Asset | 0.0089 | ||||
| Profit Margin | 0.30 % | ||||
| Operating Margin | 0.34 % | ||||
| Current Valuation | (89.01 B) | ||||
| Shares Owned By Institutions | 15.77 % | ||||
| Number Of Shares Shorted | 302.12 K | ||||
| Price To Earning | 9.47 X | ||||
| Revenue | 94.95 B | ||||
| Gross Profit | 92.41 B |
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 Preferred Stock
| 0.61 | CM | Canadian Imperial Bank Sell-off Trend | PairCorr |
| 0.69 | RY | Royal Bank Sell-off Trend | PairCorr |
| 0.66 | TD | Toronto Dominion Bank Fiscal Year End 5th of December 2024 | PairCorr |
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.Other Information on Investing in Bank Preferred Stock
Bank of America financial ratios help investors to determine whether Bank Preferred Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bank with respect to the benefits of owning Bank of America security.