This module uses fundamental data of GOLDMAN SACHS to approximate its Piotroski F score. GOLDMAN SACHS F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of GOLDMAN SACHS CDR. 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 GOLDMAN SACHS financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in GOLDMAN SACHS CDR. 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.
GOLDMAN
Piotroski F Score
Sale Purchase Of Stock
Investments
Change In Cash
Net Borrowings
Stock Based Compensation
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Total Cashflows From Investing Activities
Other Cashflows From Financing Activities
Depreciation
Dividends Paid
Capital Expenditures
Total Cash From Operating Activities
Change To Account Receivables
Change To Operating Activities
Issuance Of Capital Stock
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Change To Netincome
Total Assets
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Other Liab
Net Tangible Assets
Property Plant And Equipment Net
Net Debt
Retained Earnings
Accounts Payable
Cash
Long Term Debt
Net Receivables
Good Will
Common Stock Shares Outstanding
Capital Lease Obligations
Other Current Assets
Other Stockholder Equity
Total Liab
Net Invested Capital
Long Term Investments
Property Plant And Equipment Gross
Short Long Term Debt
Total Current Assets
Intangible Assets
Property Plant Equipment
Short Term Investments
Tax Provision
Net Interest Income
Interest Income
Interest Expense
Selling General Administrative
Total Revenue
Other Operating Expenses
Net Income From Continuing Ops
Reconciled Depreciation
Income Before Tax
Net Income Applicable To Common Shares
Income Tax Expense
Probability Of Bankruptcy
As of the 4th of December 2024, Long Term Debt is likely to grow to about 257.2 B, while Net Debt is likely to drop about 68.4 B.
At this time, it appears that GOLDMAN SACHS'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 GOLDMAN SACHS is to make sure GOLDMAN is not a subject of accounting manipulations and runs a healthy internal audit department. So, if GOLDMAN SACHS'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 GOLDMAN SACHS'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 GOLDMAN SACHS's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards GOLDMAN SACHS 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.
Net Debt
68.39 Billion
At this time, GOLDMAN SACHS's Net Debt is very stable compared to the past year.
About GOLDMAN SACHS Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze GOLDMAN SACHS CDR's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of GOLDMAN SACHS using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of GOLDMAN SACHS CDR 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.
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 GOLDMAN SACHS 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 GOLDMAN SACHS will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to GOLDMAN SACHS could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace GOLDMAN SACHS 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 GOLDMAN SACHS - 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 GOLDMAN SACHS CDR to buy it.
The correlation of GOLDMAN SACHS 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 GOLDMAN SACHS moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if GOLDMAN SACHS CDR 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 GOLDMAN SACHS 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.
GOLDMAN SACHS financial ratios help investors to determine whether GOLDMAN 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 GOLDMAN with respect to the benefits of owning GOLDMAN SACHS security.