| RAYD Etf | | | USD 33.09 0.11 0.33% |
This module uses fundamental data of Rayliant Quantitative to approximate its Piotroski F score. Rayliant Quantitative F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Rayliant Quantitative Developed. 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 Rayliant Quantitative financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Rayliant Quantitative Altman Z Score,
Rayliant Quantitative Correlation,
Portfolio Optimization, as well as analyze
Rayliant Quantitative Alpha and Beta and
Rayliant Quantitative Hype Analysis.
At this time, it appears that Rayliant Quantitative'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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Rayliant Quantitative Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Rayliant Quantitative is to make sure Rayliant is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Rayliant Quantitative'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 Rayliant Quantitative's financial numbers are properly reported.
About Rayliant Quantitative 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 Rayliant Quantitative Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Rayliant Quantitative Developed's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Rayliant Quantitative using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Rayliant Quantitative Developed 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.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Rayliant Quantitative is a strong investment it is important to analyze Rayliant Quantitative's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Rayliant Quantitative's
future performance.
For an informed investment choice regarding Rayliant Etf, refer to the following important reports: The market value of Rayliant Quantitative is measured differently than its book value, which is the value of Rayliant that is recorded on the company's balance sheet. Investors also form their own opinion of Rayliant Quantitative's value that differs from its market value or its book value, called intrinsic value, which is Rayliant Quantitative'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 Rayliant Quantitative's market value can be influenced by many factors that don't directly affect Rayliant Quantitative'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 Rayliant Quantitative's value and its price as these two are different measures arrived at by different means. Investors typically determine if Rayliant Quantitative is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Rayliant Quantitative'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.