Giant Group Stock Piotroski F Score
GGLT Stock | USD 200.00 0.00 0.00% |
Giant |
At this time, it appears that Giant Group'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 | 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 |
Giant Group Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Giant Group is to make sure Giant is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Giant Group'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 Giant Group's financial numbers are properly reported.
About Giant Group 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 Giant Group Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Giant Group's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Giant Group using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Giant Group 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 Giant Group 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, Giant Group's short interest history, or implied volatility extrapolated from Giant Group options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Giant Group. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of economic analysis. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Complementary Tools for Giant Pink Sheet analysis
When running Giant Group's price analysis, check to measure Giant Group'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 Giant Group is operating at the current time. Most of Giant Group's value examination focuses on studying past and present price action to predict the probability of Giant Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Giant Group's price. Additionally, you may evaluate how the addition of Giant Group to your portfolios can decrease your overall portfolio volatility.
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
CEOs Directory Screen CEOs from public companies around the world | |
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |