Green Cross Lab Stock Piotroski F Score

144510 Stock  KRW 23,500  750.00  3.09%   
This module uses fundamental data of Green Cross to approximate its Piotroski F score. Green Cross F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Green Cross Lab. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Green Cross financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Green Cross Lab. 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.
  
At this time, it appears that Green Cross' 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

Focus
Change in Return on Assets

N/A

Focus
Cash Flow Return on Assets

N/A

Focus
Current Quality of Earnings (accrual)

N/A

Focus
Asset Turnover Growth

N/A

Focus
Current Ratio Change

N/A

Focus
Long Term Debt Over Assets Change

N/A

Focus
Change In Outstending Shares

N/A

Focus
Change in Gross Margin

N/A

Focus

Green Cross Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Green Cross is to make sure Green is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Green Cross' 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 Green Cross' financial numbers are properly reported.

About Green Cross 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 Green Cross Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Green Cross Lab's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Green Cross using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Green Cross Lab 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 Green Cross

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 Green Cross 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 Green Cross will appreciate offsetting losses from the drop in the long position's value.

Moving together with Green Stock

  0.76207940 Samsung BiologicsPairCorr
  0.81326030 Sk BiopharmaceuticalsPairCorr
  0.8298380 ABL BioPairCorr

Moving against Green Stock

  0.89035420 NaverPairCorr
  0.8032640 LG UplusPairCorr
  0.64039240 Gyeongnam SteelPairCorr
  0.61011200 HMM CoPairCorr
  0.53003535 Hanwha InvestmentSecuriPairCorr
The ability to find closely correlated positions to Green Cross could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Green Cross 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 Green Cross - 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 Green Cross Lab to buy it.
The correlation of Green Cross 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 Green Cross moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Green Cross Lab 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 Green Cross 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

Other Information on Investing in Green Stock

Green Cross financial ratios help investors to determine whether Green Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Green with respect to the benefits of owning Green Cross security.