Decision Diagnostics Stock Z Score
| DECN Stock | USD 0.0001 0.00 0.00% |
Decision | Z Score |
Decision Diagnostics Company Z Score Analysis
Decision Diagnostics' Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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Decision Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Decision Diagnostics is extremely important. It helps to project a fair market value of Decision Stock properly, considering its historical fundamentals such as Z Score. Since Decision Diagnostics' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Decision Diagnostics' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Decision Diagnostics' interrelated accounts and indicators.
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
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According to the company's disclosures, Decision Diagnostics has a Z Score of 0.0. This is 100.0% lower than that of the Health Care Technology sector and about the same as Health Care (which currently averages 0.0) industry. The z score for all United States stocks is 100.0% higher than that of the company.
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Decision Fundamentals
| Return On Equity | -81.61 | ||||
| Return On Asset | -0.21 | ||||
| Operating Margin | (0.95) % | ||||
| Current Valuation | 3.14 M | ||||
| Shares Outstanding | 357.87 M | ||||
| Price To Earning | (0.33) X | ||||
| Price To Book | 2.72 X | ||||
| Price To Sales | 0.0002 X | ||||
| Revenue | 1.98 M | ||||
| Gross Profit | 194.17 K | ||||
| EBITDA | (2.41 M) | ||||
| Net Income | (29.67 M) | ||||
| Cash And Equivalents | 210.85 K | ||||
| Total Debt | 2.93 M | ||||
| Debt To Equity | 9.05 % | ||||
| Current Ratio | 0.25 X | ||||
| Cash Flow From Operations | (1.4 M) | ||||
| Earnings Per Share | (0.02) X | ||||
| Beta | -1.7 | ||||
| Market Capitalization | 357 | ||||
| Total Asset | 5.65 M | ||||
| Retained Earnings | (79.4 M) | ||||
| Working Capital | (3.3 M) | ||||
| Current Asset | 4.3 M | ||||
| Current Liabilities | 3.06 M | ||||
| Net Asset | 5.65 M |
About Decision Diagnostics Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Decision Diagnostics's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Decision Diagnostics using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Decision Diagnostics 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 Decision Diagnostics
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 Decision Diagnostics 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 Decision Diagnostics will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Decision Diagnostics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Decision Diagnostics 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 Decision Diagnostics - 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 Decision Diagnostics to buy it.
The correlation of Decision Diagnostics 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 Decision Diagnostics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Decision Diagnostics 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 Decision Diagnostics 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 Decision Diagnostics Piotroski F Score and Decision Diagnostics Valuation analysis. To learn how to invest in Decision Stock, please use our How to Invest in Decision Diagnostics guide.Note that the Decision Diagnostics information on this page should be used as a complementary analysis to other Decision Diagnostics' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Complementary Tools for Decision Stock analysis
When running Decision Diagnostics' price analysis, check to measure Decision Diagnostics' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Decision Diagnostics is operating at the current time. Most of Decision Diagnostics' value examination focuses on studying past and present price action to predict the probability of Decision Diagnostics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Decision Diagnostics' price. Additionally, you may evaluate how the addition of Decision Diagnostics to your portfolios can decrease your overall portfolio volatility.
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Is Decision Diagnostics' industry 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 Decision Diagnostics. If investors know Decision 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 Decision Diagnostics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.02) | Revenue Per Share 0.006 | Quarterly Revenue Growth (0) | Return On Assets (0.21) | Return On Equity (81.61) |
The market value of Decision Diagnostics is measured differently than its book value, which is the value of Decision that is recorded on the company's balance sheet. Investors also form their own opinion of Decision Diagnostics' value that differs from its market value or its book value, called intrinsic value, which is Decision Diagnostics' 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 Decision Diagnostics' market value can be influenced by many factors that don't directly affect Decision Diagnostics' 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 Decision Diagnostics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Decision Diagnostics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Decision Diagnostics' 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.