| AIPI Etf | | | 50.93 0.91 1.82% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
REX AI Piotroski F Score and
Portfolio Optimization analysis.
REX AI Equity ETF Z Score Analysis
REX AI's 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..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
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| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
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| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
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| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
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| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
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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.
In accordance with the company's disclosures, REX AI Equity has a Z Score of 0.0. This indicator is about the same for the average (which is currently at 0.0) family and about the same as
Derivative Income (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
| | Equity ForecastingUse basic forecasting models to generate price predictions and determine price momentum |
About REX AI Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze REX AI Equity's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of REX AI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of REX AI Equity based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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.
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When determining whether REX AI Equity offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of REX AI's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Rex Ai Equity Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Rex Ai Equity Etf: The market value of REX AI Equity is measured differently than its book value, which is the value of REX that is recorded on the company's balance sheet. Investors also form their own opinion of REX AI's value that differs from its market value or its book value, called intrinsic value, which is REX AI'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 REX AI's market value can be influenced by many factors that don't directly affect REX AI'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 REX AI's value and its price as these two are different measures arrived at by different means. Investors typically determine if REX AI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, REX AI'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.