Fintech Ecosystem Development Stock Z Score
| FEXDRDelisted Stock | USD 0 0.0005 11.63% |
Fintech |
Fintech Ecosystem Development Company Z Score Analysis
Fintech Ecosystem'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..
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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.
CompetitionAccording to the company's disclosures, Fintech Ecosystem Development has a Z Score of 0.0. This indicator is about the same for the Software average (which is currently at 0.0) sector and about the same as Information Technology (which currently averages 0.0) industry. This indicator is about the same for all United States stocks average (which is currently at 0.0).
Fintech Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Fintech Ecosystem's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Fintech Ecosystem could also be used in its relative valuation, which is a method of valuing Fintech Ecosystem by comparing valuation metrics of similar companies.Fintech Ecosystem is currently under evaluation in z score category among its peers.
Fintech Fundamentals
| Return On Asset | -0.0297 | |||
| Number Of Shares Shorted | 39 | |||
| Cash And Equivalents | 491 | |||
| Total Debt | 60.42 K | |||
| Debt To Equity | 2.51 % | |||
| Book Value Per Share | (0.99) X |
About Fintech Ecosystem Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fintech Ecosystem Development's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fintech Ecosystem using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fintech Ecosystem Development 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 Fintech Ecosystem
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 Fintech Ecosystem 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 Fintech Ecosystem will appreciate offsetting losses from the drop in the long position's value.Moving against Fintech Stock
| 0.52 | DIS | Walt Disney | PairCorr |
| 0.4 | JPM | JPMorgan Chase Fiscal Year End 10th of January 2025 | PairCorr |
| 0.36 | BAC | Bank of America Fiscal Year End 10th of January 2025 | PairCorr |
The ability to find closely correlated positions to Fintech Ecosystem could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fintech Ecosystem 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 Fintech Ecosystem - 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 Fintech Ecosystem Development to buy it.
The correlation of Fintech Ecosystem 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 Fintech Ecosystem moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fintech Ecosystem 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 Fintech Ecosystem 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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in unemployment. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Other Consideration for investing in Fintech Stock
If you are still planning to invest in Fintech Ecosystem check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Fintech Ecosystem's history and understand the potential risks before investing.
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