| FNGO Etf | | | USD 93.00 8.59 8.46% |
This module uses fundamental data of MicroSectors FANG to approximate its Piotroski F score. MicroSectors FANG F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of MicroSectors FANG Index. 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 MicroSectors FANG financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
MicroSectors FANG Altman Z Score,
MicroSectors FANG Correlation,
Portfolio Optimization, as well as analyze
MicroSectors FANG Alpha and Beta and
MicroSectors FANG Hype Analysis.
At this time, it appears that MicroSectors FANG'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
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MicroSectors FANG Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to MicroSectors FANG is to make sure MicroSectors is not a subject of accounting manipulations and runs a healthy internal audit department. So, if MicroSectors FANG'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 MicroSectors FANG's financial numbers are properly reported.
About MicroSectors FANG 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 MicroSectors FANG Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze MicroSectors FANG Index's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of MicroSectors FANG using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of MicroSectors FANG Index 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 MicroSectors FANG
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 MicroSectors FANG 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 MicroSectors FANG will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to MicroSectors FANG could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace MicroSectors FANG 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 MicroSectors FANG - 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 MicroSectors FANG Index to buy it.
The correlation of MicroSectors FANG 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 MicroSectors FANG moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if MicroSectors FANG Index 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 MicroSectors FANG 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.
When determining whether MicroSectors FANG Index is a good investment, qualitative aspects like company
management, corporate governance, and ethical practices play a significant role. A
comparison with peer companies also provides context and helps to understand if MicroSectors Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Microsectors Fang Index Etf.
Highlighted below are key reports to facilitate an investment decision about Microsectors Fang Index Etf: The market value of MicroSectors FANG Index is measured differently than its book value, which is the value of MicroSectors that is recorded on the company's balance sheet. Investors also form their own opinion of MicroSectors FANG's value that differs from its market value or its book value, called intrinsic value, which is MicroSectors FANG's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because MicroSectors FANG's market value can be influenced by many factors that don't directly affect MicroSectors FANG's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between MicroSectors FANG's value and its price as these two are different measures arrived at by different means. Investors typically determine if MicroSectors FANG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MicroSectors FANG's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.