Clean Earth Acquisitions Stock Z Score
| CLINRDelisted Stock | USD 0.14 0.00 0.00% |
Clean |
Clean Earth Acquisitions Company Z Score Analysis
Clean Earth'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..
Current Clean Earth Z Score | -0.04 |
Most of Clean Earth's fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Clean Earth Acquisitions is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
| |||||||
| |||||||
| |||||||
| |||||||
|
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.
CompetitionIn accordance with the company's disclosures, Clean Earth Acquisitions has a Z Score of -0.04. This is much lower than that of the Financial Services sector and significantly lower than that of the Financials industry. The z score for all United States stocks is notably higher than that of the company.
Clean Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Clean Earth'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 Clean Earth could also be used in its relative valuation, which is a method of valuing Clean Earth by comparing valuation metrics of similar companies.Clean Earth is currently under evaluation in z score category among its peers.
Clean Fundamentals
| Return On Asset | -0.0088 | |||
| Number Of Shares Shorted | 42.46 K | |||
| Net Income | (3.82 K) | |||
| Cash And Equivalents | 33.91 K | |||
| Total Debt | 806.17 K | |||
| Debt To Equity | 5.57 % | |||
| Current Ratio | 0.05 X | |||
| Book Value Per Share | 0.01 X | |||
| Cash Flow From Operations | (387) | |||
| Total Asset | 236.52 M | |||
| Retained Earnings | (6.92 M) | |||
| Z Score | -0.04 | |||
| Net Asset | 236.52 M |
About Clean Earth Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Clean Earth Acquisitions's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Clean Earth using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Clean Earth Acquisitions 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 Clean Earth
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 Clean Earth 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 Clean Earth will appreciate offsetting losses from the drop in the long position's value.Moving against Clean Stock
| 0.78 | CSCO | Cisco Systems Aggressive Push | PairCorr |
| 0.71 | JPM | JPMorgan Chase Fiscal Year End 10th of January 2025 | PairCorr |
| 0.66 | WMT | Walmart Aggressive Push | PairCorr |
| 0.66 | AXP | American Express Fiscal Year End 24th of January 2025 | PairCorr |
| 0.65 | HPQ | HP Inc | PairCorr |
The ability to find closely correlated positions to Clean Earth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Clean Earth 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 Clean Earth - 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 Clean Earth Acquisitions to buy it.
The correlation of Clean Earth 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 Clean Earth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clean Earth Acquisitions 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 Clean Earth 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 Trending Equities 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 board of governors. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Other Consideration for investing in Clean Stock
If you are still planning to invest in Clean Earth Acquisitions 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 Clean Earth's history and understand the potential risks before investing.
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Equity Valuation Check real value of public entities based on technical and fundamental data |