This module uses fundamental data of Bank of China to approximate its Piotroski F score. Bank of China F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Bank of China. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Bank of China financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of China. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
Bank
Piotroski F Score
Investments
Change In Cash
Net Borrowings
Total Cashflows From Investing Activities
Other Cashflows From Financing Activities
Depreciation
Dividends Paid
Capital Expenditures
Total Cash From Operating Activities
Change To Operating Activities
Net Income
Total Cash From Financing Activities
Other Cashflows From Investing Activities
Change To Netincome
End Period Cash Flow
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Other Non Cash Items
Total Assets
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Other Liab
Net Tangible Assets
Retained Earnings
Accounts Payable
Cash
Other Assets
Long Term Debt
Net Receivables
Good Will
Short Term Investments
Inventory
Other Current Assets
Other Stockholder Equity
Total Liab
Deferred Long Term Liab
Long Term Investments
Short Long Term Debt
Total Current Assets
Short Term Debt
Intangible Assets
Property Plant Equipment
Net Invested Capital
Capital Stock
Property Plant And Equipment Net
Property Plant And Equipment Gross
Interest Expense
Selling General Administrative
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Net Income From Continuing Ops
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Net Income Applicable To Common Shares
Income Tax Expense
Minority Interest
Tax Provision
Net Interest Income
Interest Income
Reconciled Depreciation
Probability Of Bankruptcy
As of November 26, 2024, Long Term Debt is expected to decline to about 1.2 T. In addition to that, Short and Long Term Debt is expected to decline to about 1.3 T.
At this time, it appears that Bank of China's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
The critical factor to consider when applying the Piotroski F Score to Bank of China is to make sure Bank is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Bank of China's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Bank of China's financial numbers are properly reported.
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Bank of China's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Bank of China in a much-optimized way.
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
Long Term Debt
1.19 Trillion
At present, Bank of China's Long Term Debt is projected to increase significantly based on the last few years of reporting.
About Bank of China Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank of China's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of China using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank of China 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.
Bank of China financial ratios help investors to determine whether Bank 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 China security.