Clean Carbon Energy Stock Beneish M Score

CCE Stock   0.29  0.02  6.45%   
This module uses fundamental data of Clean Carbon to approximate the value of its Beneish M Score. Clean Carbon M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Clean Carbon Energy. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in housing.
  
At this time, Clean Carbon's M Score is inapplicable. The earnings manipulation may begin if Clean Carbon's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Clean Carbon executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Clean Carbon's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-4.84
Beneish M Score - Inapplicable
Elasticity of Receivables

N/A

Focus
Asset Quality

N/A

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Expense Coverage

N/A

Focus
Gross Margin Strengs

N/A

Focus
Accruals Factor

N/A

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Depreciation Resistance

N/A

Focus
Net Sales Growth

N/A

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Financial Leverage Condition

N/A

Focus

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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

  0.71VEE Vee SAPairCorr

Moving against Clean Stock

  0.4AGL Agroliga Group PLCPairCorr
  0.4NOV Novina SAPairCorr
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.
Pair CorrelationCorrelation Matching

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.