Data Io Stock Piotroski F Score
| DAIO Stock | USD 2.69 0.07 2.67% |
Data | Piotroski F Score |
At this time, it appears that Data IO's Piotroski F Score is Strong. 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..
8.0
Piotroski F Score - Strong
| Current Return On Assets | Positive |
| Change in Return on Assets | Increased |
| Cash Flow Return on Assets | Positive |
| Current Quality of Earnings (accrual) | Improving |
| Asset Turnover Growth | Increase |
| Current Ratio Change | Decrease |
| Long Term Debt Over Assets Change | N/A |
| Change In Outstending Shares | Decrease |
| Change in Gross Margin | Increase |
Data IO Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Data IO is to make sure Data is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Data IO'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 Data IO's financial numbers are properly reported.
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Asset Turnover | 1.25 | 1.0242 |
|
| |||||
| Gross Profit Margin | 0.63 | 0.5768 |
|
| |||||
| Total Current Liabilities | 7.6 M | 6.2 M |
|
| |||||
| Non Current Liabilities Total | 978.8 K | 894 K |
|
| |||||
| Total Assets | 27.6 M | 27.4 M |
|
| |||||
| Total Current Assets | 21.2 M | 24.6 M |
|
|
Data IO F Score Driver Matrix
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 Data IO's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Data IO in a much-optimized way.
Click cells to compare fundamentals
About Data IO 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.Book Value Per Share |
|
Data IO ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Data IO's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Data IO's managers, analysts, and investors.Environmental | Governance | Social |
About Data IO Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data IO's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data IO using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data IO 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.
Pair Trading with Data IO
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 Data IO 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 Data IO will appreciate offsetting losses from the drop in the long position's value.Moving against Data Stock
| 0.5 | TER | Teradyne | PairCorr |
| 0.47 | BKRKF | PT Bank Rakyat | PairCorr |
| 0.46 | PPERF | Bank Mandiri Persero | PairCorr |
| 0.45 | PPERY | Bank Mandiri Persero | PairCorr |
| 0.35 | LGMK | LogicMark | PairCorr |
The ability to find closely correlated positions to Data IO could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data IO 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 Data IO - 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 Data IO to buy it.
The correlation of Data IO 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 Data IO moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data IO 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 Data IO 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.Check out Data IO Altman Z Score, Data IO Correlation, Data IO Valuation, as well as analyze Data IO Alpha and Beta and Data IO Hype Analysis. To learn how to invest in Data Stock, please use our How to Invest in Data IO guide.You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Is Electronic Equipment, Instruments & Components space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Data IO. If investors know Data will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Data IO listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.83) | Earnings Share (0.20) | Revenue Per Share 2.579 | Quarterly Revenue Growth (0.17) | Return On Assets (0.04) |
The market value of Data IO is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data IO's value that differs from its market value or its book value, called intrinsic value, which is Data IO's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Data IO's market value can be influenced by many factors that don't directly affect Data IO's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Data IO's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data IO is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data IO's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.