Ethernity Networks Stock Piotroski F Score

ENETF Stock  USD 0.01  0.00  0.00%   
This module uses fundamental data of Ethernity Networks to approximate its Piotroski F score. Ethernity Networks F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Ethernity Networks. 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 Ethernity Networks financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Ethernity Networks Altman Z Score, Ethernity Networks Correlation, Ethernity Networks Valuation, as well as analyze Ethernity Networks Alpha and Beta and Ethernity Networks Hype Analysis.
  
At this time, it appears that Ethernity Networks' 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..
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Piotroski F Score - Inapplicable
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Ethernity Networks Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Ethernity Networks is to make sure Ethernity is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Ethernity Networks' 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 Ethernity Networks' financial numbers are properly reported.

About Ethernity Networks 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 Ethernity Networks Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Ethernity Networks's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ethernity Networks using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Ethernity Networks 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.
Ethernity Networks Ltd. provides technology solutions for telecom, mobile, security, and data center markets in Asia, Europe, Israel, and the United States. Ethernity Networks Ltd. was incorporated in 2003 and is headquartered in Airport City, Israel. Ethernity Networks operates under SoftwareApplication classification in the United States and is traded on OTC Exchange.
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 Ethernity Networks 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, Ethernity Networks' short interest history, or implied volatility extrapolated from Ethernity Networks options trading.

Pair Trading with Ethernity Networks

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 Ethernity Networks 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 Ethernity Networks will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Ethernity Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ethernity Networks 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 Ethernity Networks - 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 Ethernity Networks to buy it.
The correlation of Ethernity Networks 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 Ethernity Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ethernity Networks 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 Ethernity Networks 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.
Pair CorrelationCorrelation Matching
Check out Ethernity Networks Altman Z Score, Ethernity Networks Correlation, Ethernity Networks Valuation, as well as analyze Ethernity Networks Alpha and Beta and Ethernity Networks Hype Analysis.
You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.

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Please note, there is a significant difference between Ethernity Networks' value and its price as these two are different measures arrived at by different means. Investors typically determine if Ethernity Networks is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Ethernity Networks' 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.