This module uses fundamental data of AfriTin Mining to approximate its Piotroski F score. AfriTin Mining F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of AfriTin Mining. 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 AfriTin Mining 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 AfriTin Mining. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.
AfriTin
Piotroski F Score
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Probability Of Bankruptcy
At present, AfriTin Mining's Long Term Debt is projected to increase significantly based on the last few years of reporting.
At this time, it appears that AfriTin Mining'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 AfriTin Mining is to make sure AfriTin is not a subject of accounting manipulations and runs a healthy internal audit department. So, if AfriTin Mining'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 AfriTin Mining'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 AfriTin Mining's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards AfriTin Mining 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
156,925
At present, AfriTin Mining's Net Debt is projected to increase significantly based on the last few years of reporting.
About AfriTin Mining Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze AfriTin Mining's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of AfriTin Mining using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of AfriTin Mining 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.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
AfriTin Mining financial ratios help investors to determine whether AfriTin 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 AfriTin with respect to the benefits of owning AfriTin Mining security.