FIRST Piotroski F Score

This module uses fundamental data of FIRST TRUST to approximate its Piotroski F score. FIRST TRUST F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of FIRST TRUST NSDQ. 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 FIRST TRUST financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Your Equity Center.
  
At this time, it appears that FIRST TRUST'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
1
Current Return On AssetsN/AFocus
2
Change in Return on AssetsN/AFocus
3
Cash Flow Return on AssetsN/AFocus
4
Current Quality of Earnings (accrual)N/AFocus
5
Asset Turnover GrowthN/AFocus
6
Current Ratio ChangeN/AFocus
7
Long Term Debt Over Assets ChangeN/AFocus
8
Change In Outstending SharesN/AFocus
9
Change in Gross MarginN/AFocus

FIRST TRUST Piotroski F Score Drivers

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

About FIRST TRUST 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 FIRST TRUST Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze FIRST TRUST NSDQ's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FIRST TRUST using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FIRST TRUST NSDQ 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.
FIRST TRUST is traded on Toronto Stock Exchange in Canada.
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 FIRST TRUST 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, FIRST TRUST's short interest history, or implied volatility extrapolated from FIRST TRUST options trading.

Currently Active Assets on Macroaxis

Please see FIRST TRUST Altman Z Score, FIRST TRUST Correlation, Portfolio Optimization, as well as analyze FIRST TRUST Alpha and Beta and FIRST TRUST Hype Analysis. You can also try Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.

Other Tools for FIRST Etf

When running FIRST TRUST NSDQ price analysis, check to measure FIRST TRUST'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 FIRST TRUST is operating at the current time. Most of FIRST TRUST's value examination focuses on studying past and present price action to predict the probability of FIRST TRUST's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move FIRST TRUST's price. Additionally, you may evaluate how the addition of FIRST TRUST to your portfolios can decrease your overall portfolio volatility.
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