Bank Net Income vs Income Tax Expense Analysis
| BK Stock | USD 55.09 0.04 0.07% |
Bank of New York financial indicator trend analysis is way more than just evaluating Bank of New York prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Bank of New York is a good investment. Please check the relationship between Bank of New York Net Income and its Income Tax Expense accounts. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of New. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in industry.
Net Income vs Income Tax Expense
Net Income vs Income Tax Expense Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Bank of New York Net Income account and Income Tax Expense. At this time, the significance of the direction appears to have weak relationship.
The correlation between Bank of New York's Net Income and Income Tax Expense is 0.34. Overlapping area represents the amount of variation of Net Income that can explain the historical movement of Income Tax Expense in the same time period over historical financial statements of Bank of New, assuming nothing else is changed. The correlation between historical values of Bank of New York's Net Income and Income Tax Expense is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Income of Bank of New are associated (or correlated) with its Income Tax Expense. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Tax Expense has no effect on the direction of Net Income i.e., Bank of New York's Net Income and Income Tax Expense go up and down completely randomly.
Correlation Coefficient | 0.34 |
| Relationship Direction | Positive |
| Relationship Strength | Very Weak |
Net Income
Net income is one of the most important fundamental items in finance. It plays a large role in Bank of New York financial statement analysis. It represents the amount of money remaining after all of Bank of New operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Income Tax Expense
Most indicators from Bank of New York's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Bank of New York current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of New. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in industry. Sales General And Administrative To Revenue is expected to rise to 0.30 this year, although the value of Selling General Administrative will most likely fall to about 3.7 B.
| 2021 | 2022 | 2023 | 2024 (projected) | Interest Expense | 227M | 3.6B | 2.3B | 1.6B | Depreciation And Amortization | 82M | 67M | 1.7B | 1.8B |
Bank of New York fundamental ratios Correlations
Click cells to compare fundamentals
Bank of New York Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Bank of New York fundamental ratios Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Total Assets | 381.5B | 469.6B | 444.4B | 405.8B | 410.0B | 430.5B | |
| Short Long Term Debt Total | 32.1B | 26.3B | 26.7B | 30.9B | 66.0B | 69.3B | |
| Other Current Liab | (168M) | (41.8B) | (40.1B) | (41.8B) | 48.0B | 50.4B | |
| Total Current Liabilities | 22.7B | 25.1B | 25.2B | 23.4B | 103.2B | 108.4B | |
| Total Stockholder Equity | 41.5B | 45.8B | 43.0B | 40.7B | 40.9B | 42.9B | |
| Property Plant And Equipment Net | 3.6B | 3.6B | 3.4B | 3.3B | 3.2B | 3.3B | |
| Net Debt | (82.6B) | (139.0B) | (94.7B) | (83.0B) | (59.2B) | (56.2B) | |
| Retained Earnings | 31.9B | 34.2B | 36.7B | 37.9B | 39.7B | 41.6B | |
| Non Currrent Assets Other | (161.0B) | (196.3B) | (203.1B) | 3.7B | 5.9B | 6.2B | |
| Other Assets | 47.5B | 48.2B | 68.6B | 66.1B | 76.0B | 79.8B | |
| Common Stock Shares Outstanding | 943.1M | 892.5M | 856.4M | 814.8M | 787.8M | 871.9M | |
| Liabilities And Stockholders Equity | 381.5B | 469.6B | 444.4B | 405.8B | 410.0B | 430.5B | |
| Non Current Liabilities Total | 28.1B | 26.3B | 26.7B | 23.4B | 265.7B | 279.0B | |
| Other Stockholder Equity | 8.7B | 8.0B | 3.7B | 4.0B | 1.8B | 1.7B | |
| Total Liab | 339.8B | 423.5B | 401.0B | 364.9B | 368.9B | 387.4B | |
| Property Plant And Equipment Gross | 1.6B | 1.8B | 3.6B | 3.6B | 4.1B | 4.3B | |
| Non Current Assets Total | 161.0B | 196.3B | 203.1B | 178.8B | 231.3B | 242.9B | |
| Accounts Payable | 18.8B | 25.1B | 25.2B | 23.4B | 18.4B | 9.7B | |
| Cash | 114.7B | 165.3B | 121.3B | 113.9B | 125.2B | 63.2B | |
| Cash And Short Term Investments | 172.4B | 224.6B | 166.8B | 154.0B | (116.5B) | (110.6B) | |
| Net Receivables | 624M | 510M | 5.9B | 858M | 8.6B | 9.0B | |
| Total Current Assets | 173.1B | 225.1B | 172.7B | 160.9B | 178.7B | 100.9B | |
| Accumulated Other Comprehensive Income | (2.6B) | (985M) | (2.2B) | (6.0B) | (4.9B) | (4.6B) | |
| Short Term Debt | 4.0B | 41.6B | 39.9B | 41.7B | 36.7B | 38.5B | |
| Other Liab | 5.1B | 7.5B | 6.7B | 6.5B | 5.8B | 5.5B | |
| Long Term Debt | 32.9B | 32.4B | 32.1B | 30.9B | 31.7B | 24.6B | |
| Short Term Investments | 57.8B | 59.3B | 45.5B | 46.6B | 44.1B | 53.9B | |
| Inventory | (165.5B) | (218.8B) | (179.4B) | (150.9B) | 107.9B | 113.3B | |
| Treasury Stock | (15.5B) | (18.8B) | (19.8B) | (24.4B) | (22.0B) | (20.9B) | |
| Property Plant Equipment | 3.6B | 3.6B | 3.4B | 3.3B | 3.7B | 1.9B | |
| Good Will | 17.4B | 17.5B | 17.5B | 16.2B | 16.3B | 15.0B | |
| Other Current Assets | 165.5B | 218.8B | 179.4B | 157.0B | 178.7B | 187.6B | |
| Intangible Assets | 3.1B | 3.0B | 5.1B | 2.9B | 5.3B | 3.4B | |
| Noncontrolling Interest In Consolidated Entity | 101M | 102M | 143M | 196M | 176.4M | 167.6M | |
| Retained Earnings Total Equity | 28.7B | 31.9B | 34.2B | 36.7B | 42.2B | 25.4B |
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.
Bank of New York Implied Volatility | 67.46 |
Bank of New York's implied volatility exposes the market's sentiment of Bank of New stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Bank of New York'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 New York stock will not fluctuate a lot when Bank of New York'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 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
| 0.78 | AB | AllianceBernstein Financial Report 24th of April 2024 | PairCorr |
Moving against Bank Stock
| 0.49 | AC | Associated Capital | PairCorr |
| 0.47 | ECPG | Encore Capital Group Financial Report 1st of May 2024 | 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of New. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in industry. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
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 (0.68) | Dividend Share 1.58 | Earnings Share 3.87 | Revenue Per Share 22.17 | Quarterly Revenue Growth 0.084 |
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.