Bank Of New Stock Z Score
| BK Stock | USD 58.44 0.09 0.15% |
Bank | Z Score |
Bank of New Company Z Score Analysis
Bank of New York's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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Bank Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Bank of New York is extremely important. It helps to project a fair market value of Bank Stock properly, considering its historical fundamentals such as Z Score. Since Bank of New York's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Bank of New York's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Bank of New York's interrelated accounts and indicators.
Click cells to compare fundamentals
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
| Competition |
In accordance with the company's disclosures, Bank of New has a Z Score of 0.0. This is 100.0% lower than that of the Capital Markets sector and 100.0% lower than that of the Financials industry. The z score for all United States stocks is 100.0% higher than that of the company.
Bank of New York 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 New York's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Bank of New York's managers, analysts, and investors.Environmental | Governance | Social |
Bank of New York Institutional Holders
Institutional Holdings refers to the ownership stake in Bank of New York that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Bank of New York's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Bank of New York's value.| Shares | Goldman Sachs Group Inc | 2023-12-31 | 11.2 M | Longview Partners (guernsey) Ltd. | 2023-12-31 | 11.1 M | American Century Companies Inc | 2023-12-31 | 9.8 M | Hotchkis & Wiley Capital Management Llc | 2023-12-31 | 9.5 M | Northern Trust Corp | 2023-12-31 | 9.1 M | Harris Associates L.p. | 2023-12-31 | 8.8 M | Nuveen Asset Management, Llc | 2023-12-31 | 8.7 M | Wells Fargo & Co | 2023-12-31 | 8.7 M | Ameriprise Financial Inc | 2023-12-31 | 8.5 M | Vanguard Group Inc | 2023-12-31 | 74.5 M | Blackrock Inc | 2023-12-31 | 64.4 M |
Bank Fundamentals
| Return On Equity | 0.0817 | |||
| Return On Asset | 0.0078 | |||
| Profit Margin | 0.19 % | |||
| Operating Margin | 0.31 % | |||
| Current Valuation | (56.72 B) | |||
| Shares Outstanding | 747.82 M | |||
| Shares Owned By Insiders | 0.15 % | |||
| Shares Owned By Institutions | 88.12 % | |||
| Number Of Shares Shorted | 8.56 M | |||
| Price To Earning | 13.92 X | |||
| Price To Book | 1.13 X | |||
| Price To Sales | 2.38 X | |||
| Revenue | 33.7 B | |||
| Gross Profit | 16.34 B | |||
| EBITDA | 55 M | |||
| Net Income | 3.29 B | |||
| Cash And Equivalents | 158.35 B | |||
| Cash Per Share | 195.90 X | |||
| Total Debt | 65.99 B | |||
| Debt To Equity | 0.57 % | |||
| Book Value Per Share | 48.44 X | |||
| Cash Flow From Operations | 5.91 B | |||
| Short Ratio | 2.35 X | |||
| Earnings Per Share | 3.99 X | |||
| Price To Earnings To Growth | 0.76 X | |||
| Target Price | 64.64 | |||
| Number Of Employees | 52.1 K | |||
| Beta | 1.1 | |||
| Market Capitalization | 43.7 B | |||
| Total Asset | 409.95 B | |||
| Retained Earnings | 39.65 B | |||
| Annual Yield | 0.03 % | |||
| Five Year Return | 2.57 % | |||
| Net Asset | 409.95 B | |||
| Last Dividend Paid | 1.63 |
About Bank of New York Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank of New's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of New York using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank of New 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 New York Investors Sentiment
The influence of Bank of New York'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 New York'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 New. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Bank of New York'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 New York'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 New York's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Bank of New York.
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 New York 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 New York's short interest history, or implied volatility extrapolated from Bank of New York options trading.
Pair Trading with Bank of New York
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 New York 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 New York will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Stock
| 0.65 | WAVS | Western Acquisition | PairCorr |
| 0.85 | AXP | American Express Financial Report 19th of July 2024 | PairCorr |
Moving against Bank Stock
| 0.52 | FRHC | Freedom Holding Corp | PairCorr |
| 0.49 | BFIIW | BurgerFi International | PairCorr |
The ability to find closely correlated positions to Bank of New York 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 New York 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 New York - 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 New to buy it.
The correlation of Bank of New York 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 New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of New York 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 New York 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 Bank of New York Piotroski F Score and Bank of New York Valuation analysis. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Complementary Tools for Bank Stock analysis
When running Bank of New York's price analysis, check to measure Bank of New York'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 New York is operating at the current time. Most of Bank of New York's value examination focuses on studying past and present price action to predict the probability of Bank of New York'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 New York's price. Additionally, you may evaluate how the addition of Bank of New York to your portfolios can decrease your overall portfolio volatility.
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Is Bank of New York'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 New York. 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 New York 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 0.106 | Dividend Share 1.63 | Earnings Share 3.99 | Revenue Per Share 22.648 | Quarterly Revenue Growth 0.026 |
The market value of Bank of New York 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 New York's value that differs from its market value or its book value, called intrinsic value, which is Bank of New York'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 New York's market value can be influenced by many factors that don't directly affect Bank of New York'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 New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if Bank of New York 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 New York'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.