Clean Carbon Energy Stock Probability Of Bankruptcy
| CCE Stock | 0.25 0.02 7.41% |
Clean |
Clean Carbon Energy Company probability of distress Analysis
Clean Carbon's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Clean Carbon Probability Of Bankruptcy | Over 88% |
Most of Clean Carbon's fundamental indicators, such as Probability Of Bankruptcy, 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 Carbon Energy is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Clean Carbon probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Clean Carbon odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Clean Carbon Energy financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Clean Carbon Energy has a Probability Of Bankruptcy of 88%. This is 82.5% higher than that of the Energy sector and significantly higher than that of the Thermal Coal industry. The probability of bankruptcy for all Poland stocks is 120.94% lower than that of the firm.
Clean Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Clean Carbon's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Clean Carbon could also be used in its relative valuation, which is a method of valuing Clean Carbon by comparing valuation metrics of similar companies.Clean Carbon is rated below average in probability of bankruptcy category among its peers.
Clean Fundamentals
| Return On Equity | 0.0073 | |||
| Return On Asset | -0.0019 | |||
| Current Valuation | 16.42 M | |||
| Shares Outstanding | 34.28 M | |||
| Shares Owned By Insiders | 74.56 % | |||
| Price To Book | 1.28 X | |||
| Gross Profit | 8 K | |||
| EBITDA | (54.77 M) | |||
| Net Income | (54.87 M) | |||
| Book Value Per Share | 0.32 X | |||
| Cash Flow From Operations | 8 K | |||
| Earnings Per Share | (8.00) X | |||
| Beta | 2.25 | |||
| Market Capitalization | 14.98 M | |||
| Total Asset | 14.72 M | |||
| Z Score | -9.9 | |||
| Net Asset | 14.72 M |
About Clean Carbon Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Clean Carbon Energy's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Clean Carbon using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Clean Carbon Energy 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 Carbon
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 Carbon 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 Carbon will appreciate offsetting losses from the drop in the long position's value.Moving together with Clean Stock
Moving against Clean Stock
| 0.7 | CEZ | CEZ as | PairCorr |
| 0.68 | XTB | X Trade Brokers | PairCorr |
| 0.64 | BTK | Biztech Konsulting | PairCorr |
| 0.62 | DNP | Dino Polska SA | PairCorr |
| 0.56 | PZU | Powszechny Zaklad | PairCorr |
The ability to find closely correlated positions to Clean Carbon 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 Carbon 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 Carbon - 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 Carbon Energy to buy it.
The correlation of Clean Carbon 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 Carbon moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Clean Carbon Energy 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 Carbon 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.Additional Tools for Clean Stock Analysis
When running Clean Carbon's price analysis, check to measure Clean Carbon's 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 Clean Carbon is operating at the current time. Most of Clean Carbon's value examination focuses on studying past and present price action to predict the probability of Clean Carbon's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Carbon's price. Additionally, you may evaluate how the addition of Clean Carbon to your portfolios can decrease your overall portfolio volatility.