Bank Capital Expenditures from 2010 to 2024

BK Stock  USD 55.25  0.79  1.45%   
Bank of New York Capital Expenditures yearly trend continues to be quite stable with very little volatility. Capital Expenditures may rise above about 1.3 B this year. From the period between 2010 and 2024, Bank of New York, Capital Expenditures regression line of its data series had standard deviation of  369,714,305 and standard deviation of  369,714,305. View All Fundamentals
 
Capital Expenditures  
First Reported
1989-06-30
Previous Quarter
336 M
Current Value
269 M
Quarterly Volatility
125.5 M
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Bank of New York financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bank main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.8 B, Interest Expense of 1.6 B or Selling General Administrative of 3.7 B, as well as many exotic indicators such as Price To Sales Ratio of 1.15, Dividend Yield of 0.0318 or PTB Ratio of 0.95. Bank financial statements analysis is a perfect complement when working with Bank of New York Valuation or Volatility modules.
  
This module can also supplement Bank of New York's financial leverage analysis and stock options assessment as well as various Bank of New York Technical models . Check out the analysis of Bank of New York Correlation against competitors.

Latest Bank of New York's Capital Expenditures Growth Pattern

Below is the plot of the Capital Expenditures of Bank of New over the last few years. Capital Expenditures are funds used by Bank of New York to acquire physical assets such as property, industrial buildings or equipment. This type of outlay is used by management to increase the scope of Bank of New York operations. These expenditures can include everything from repairing an office equipment, building a brand new facility, or writing new software. It is Bank of New York's Capital Expenditures historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bank of New York's overall financial position and show how it may be relating to other accounts over time.
Capital Expenditures10 Years Trend
Slightly volatile
   Capital Expenditures   
       Timeline  

Bank Capital Expenditures Regression Statistics

Arithmetic Mean930,920,000
Geometric Mean776,390,551
Coefficient Of Variation39.71
Mean Deviation313,552,000
Median1,108,000,000
Standard Deviation369,714,305
Sample Variance136688.7T
Range1.3B
R-Value0.90
Mean Square Error28238.6T
R-Squared0.81
Slope74,319,286
Total Sum of Squares1913641.3T

Bank Capital Expenditures History

20241.3 B
20231.2 B
20221.3 B
20211.2 B
20201.2 B
20191.2 B
20181.1 B

About Bank of New York Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Bank of New York income statement, its balance sheet, and the statement of cash flows. Bank of New York investors use historical funamental indicators, such as Bank of New York's Capital Expenditures, to determine how well the company is positioned to perform in the future. Although Bank of New York investors may use each financial statement separately, they are all related. The changes in Bank of New York's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Bank of New York's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Bank of New York Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Bank of New York. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for Next Year
Capital Expenditures1.2 B1.3 B

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

  0.65BX Blackstone Group Financial Report 18th of July 2024 PairCorr
  0.8GS Goldman Sachs Group Financial Report 17th of July 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.
Pair CorrelationCorrelation Matching
When determining whether Bank of New York is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Bank Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Bank Of New Stock. Highlighted below are key reports to facilitate an investment decision about Bank Of New Stock:
Check out the analysis of Bank of New York Correlation against competitors.
You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

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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.