Clean Carbon Energy Stock Debt To Equity
| CCE Stock | 0.30 0.04 15.38% |
Clean Carbon Energy fundamentals help investors to digest information that contributes to Clean Carbon's financial success or failures. It also enables traders to predict the movement of Clean Stock. The fundamental analysis module provides a way to measure Clean Carbon's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Clean Carbon stock.
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Clean Carbon Energy Company Debt To Equity Analysis
Clean Carbon's Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.
High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.
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According to the company disclosure, Clean Carbon Energy has a Debt To Equity of 0.0%. This is 100.0% lower than that of the Energy sector and about the same as Thermal Coal (which currently averages 0.0) industry. The debt to equity for all Poland stocks is 100.0% higher than that of the company.
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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 against Clean Stock
| 0.68 | EAH | Esotiq Henderson | PairCorr |
| 0.64 | 4MS | 4Mass SA | PairCorr |
| 0.63 | NTS | Notoria | PairCorr |
| 0.63 | ECH | Echo Investment SA | PairCorr |
| 0.32 | KCI | KCI SA | 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.