This module uses fundamental data of Bank of Nanjing to approximate its Piotroski F score. Bank of Nanjing F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Bank of Nanjing. 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 Nanjing 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 Nanjing. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Bank
Piotroski F Score
Capital Expenditures
Net Income
Investments
Change In Cash
Net Borrowings
Total Cashflows From Investing Activities
Other Cashflows From Financing Activities
Depreciation
Dividends Paid
Total Cash From Operating Activities
Change To Operating Activities
Total Cash From Financing Activities
Other Cashflows From Investing Activities
Change To Netincome
Change To Liabilities
End Period Cash Flow
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Other Non Cash Items
Total Assets
Total Stockholder Equity
Other Liab
Retained Earnings
Accounts Payable
Cash
Other Assets
Short Term Investments
Total Liab
Intangible Assets
Common Stock
Property Plant Equipment
Long Term Debt
Other Current Liab
Total Current Liabilities
Net Tangible Assets
Net Receivables
Inventory
Other Current Assets
Other Stockholder Equity
Deferred Long Term Liab
Long Term Investments
Total Current Assets
Net Debt
Common Stock Shares Outstanding
Net Invested Capital
Capital Stock
Property Plant And Equipment Net
Property Plant And Equipment Gross
Interest Expense
Total Revenue
Operating Income
Income Before Tax
Net Income Applicable To Common Shares
Income Tax Expense
Minority Interest
Selling General Administrative
Gross Profit
Other Operating Expenses
Net Income From Continuing Ops
Total Operating Expenses
Total Other Income Expense Net
Tax Provision
Net Interest Income
Interest Income
Reconciled Depreciation
Probability Of Bankruptcy
The current year's Long Term Debt is expected to grow to about 268.2 B, whereas Net Debt is forecasted to decline to about 109.8 B.
At this time, it appears that Bank of Nanjing'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 Nanjing is to make sure Bank is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Bank of Nanjing'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 Nanjing'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 Nanjing's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Bank of Nanjing 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
268.21 Billion
At present, Bank of Nanjing's Long Term Debt is projected to increase significantly based on the last few years of reporting.
About Bank of Nanjing Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank of Nanjing's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of Nanjing using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank of Nanjing 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 Nanjing 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 Nanjing security.