Fairfax Financial Holdings Stock Piotroski F Score
| FRFHFDelisted Stock | USD 1,006 3.70 0.37% |
Fairfax |
At this time, it appears that Fairfax Financial'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 |
Fairfax Financial Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Fairfax Financial is to make sure Fairfax is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Fairfax Financial'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 Fairfax Financial's financial numbers are properly reported.
About Fairfax Financial 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 Fairfax Financial Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fairfax Financial Holdings's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fairfax Financial using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fairfax Financial Holdings 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 Fairfax Financial 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, Fairfax Financial's short interest history, or implied volatility extrapolated from Fairfax Financial 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 Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in rate. Note that the Fairfax Financial information on this page should be used as a complementary analysis to other Fairfax Financial'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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Consideration for investing in Fairfax Pink Sheet
If you are still planning to invest in Fairfax Financial check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Fairfax Financial's history and understand the potential risks before investing.
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. |