| DRVN Etf | | | USD 16.22 0.16 0.98% |
This module uses fundamental data of Driven Brands to approximate its Piotroski F score. Driven Brands F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Driven Brands Holdings. 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 Driven Brands financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Driven Brands Altman Z Score,
Driven Brands Correlation,
Portfolio Optimization, as well as analyze
Driven Brands Alpha and Beta and
Driven Brands Hype Analysis.
At this time, it appears that Driven Brands' 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
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | |
| Change In Outstending Shares | |
Driven Brands Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Driven Brands is to make sure Driven is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Driven Brands' 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 Driven Brands' financial numbers are properly reported.
About Driven Brands 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 Driven Brands Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Driven Brands Holdings's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Driven Brands using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Driven Brands Holdings based on its fundamental data. In general, a quantitative approach, as applied to this etf, 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 Driven Brands
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 Driven Brands 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 Driven Brands will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Driven Brands could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Driven Brands 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 Driven Brands - 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 Driven Brands Holdings to buy it.
The correlation of Driven Brands 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 Driven Brands moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Driven Brands Holdings 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 Driven Brands 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.
Other Information on Investing in Driven Etf
Driven Brands financial ratios help investors to determine whether Driven Etf 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 Driven with respect to the benefits of owning Driven Brands security.