Arkema Sa Stock Piotroski F Score
| ARKAF Stock | USD 102.34 0.06 0.06% |
Arkema |
At this time, it appears that Arkema SA's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
0.0
Piotroski F Score - Inapplicable
| Current Return On Assets | N/A |
| Change in Return on Assets | N/A |
| Cash Flow Return on Assets | N/A |
| Current Quality of Earnings (accrual) | N/A |
| Asset Turnover Growth | N/A |
| Current Ratio Change | N/A |
| Long Term Debt Over Assets Change | N/A |
| Change In Outstending Shares | N/A |
| Change in Gross Margin | N/A |
Arkema SA Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Arkema SA is to make sure Arkema is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Arkema SA's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Arkema SA's financial numbers are properly reported.
About Arkema SA Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.About Arkema SA Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Arkema SA's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Arkema SA using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Arkema SA 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Arkema SA in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Arkema SA's short interest history, or implied volatility extrapolated from Arkema SA options trading.
Pair Trading with Arkema SA
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 Arkema SA 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 Arkema SA will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Arkema SA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arkema SA 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 Arkema SA - 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 Arkema SA to buy it.
The correlation of Arkema SA 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 Arkema SA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arkema SA 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 Arkema SA 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, which includes a position in Arkema SA. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the Arkema SA information on this page should be used as a complementary analysis to other Arkema SA's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
Complementary Tools for Arkema Pink Sheet analysis
When running Arkema SA's price analysis, check to measure Arkema SA'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 Arkema SA is operating at the current time. Most of Arkema SA's value examination focuses on studying past and present price action to predict the probability of Arkema SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arkema SA's price. Additionally, you may evaluate how the addition of Arkema SA to your portfolios can decrease your overall portfolio volatility.
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