Bridgestone Stock Piotroski F Score
| BRDCF Stock | USD 42.83 1.23 2.79% |
Bridgestone |
At this time, it appears that Bridgestone'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 |
Bridgestone Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Bridgestone is to make sure Bridgestone is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Bridgestone'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 Bridgestone's financial numbers are properly reported.
About Bridgestone 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 Bridgestone Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bridgestone's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bridgestone using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bridgestone 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 Bridgestone
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 Bridgestone 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 Bridgestone will appreciate offsetting losses from the drop in the long position's value.Moving against Bridgestone Pink Sheet
| 0.54 | PRSEF | Prosafe | PairCorr |
| 0.51 | AMKBF | AP Mller | PairCorr |
| 0.44 | PTAIY | Astra International Tbk Earnings Call This Week | PairCorr |
The ability to find closely correlated positions to Bridgestone could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bridgestone 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 Bridgestone - 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 Bridgestone to buy it.
The correlation of Bridgestone 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 Bridgestone moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bridgestone 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 Bridgestone 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 Bridgestone. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Bridgestone information on this page should be used as a complementary analysis to other Bridgestone'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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Complementary Tools for Bridgestone Pink Sheet analysis
When running Bridgestone's price analysis, check to measure Bridgestone'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 Bridgestone is operating at the current time. Most of Bridgestone's value examination focuses on studying past and present price action to predict the probability of Bridgestone's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bridgestone's price. Additionally, you may evaluate how the addition of Bridgestone to your portfolios can decrease your overall portfolio volatility.
| Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| CEOs Directory Screen CEOs from public companies around the world | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |