| D0D Stock | | | EUR 5.05 0.25 4.72% |
This module uses fundamental data of DICKER DATA to approximate its Piotroski F score. DICKER DATA F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of DICKER DATA LTD. 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 DICKER DATA financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Investing Opportunities to better understand how to build diversified portfolios, which includes a position in DICKER DATA LTD. 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.
At this time, it appears that DICKER DATA'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..
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Piotroski F Score - Inapplicable
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DICKER DATA Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to DICKER DATA is to make sure DICKER is not a subject of accounting manipulations and runs a healthy internal audit department. So, if DICKER DATA'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 DICKER DATA's financial numbers are properly reported.
About DICKER DATA Piotroski F Score
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.
About DICKER DATA Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze DICKER DATA LTD's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of DICKER DATA using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of DICKER DATA LTD 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.
Please read more on our
fundamental analysis page.
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Other Information on Investing in DICKER Stock
DICKER DATA financial ratios help investors to determine whether DICKER 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 DICKER with respect to the benefits of owning DICKER DATA security.