| DHY Etf | | | USD 2.20 0.02 0.92% |
This module uses fundamental data of Credit Suisse to approximate its Piotroski F score. Credit Suisse F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Credit Suisse High. 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 Credit Suisse financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Credit Suisse Altman Z Score,
Credit Suisse Correlation,
Portfolio Optimization, as well as analyze
Credit Suisse Alpha and Beta and
Credit Suisse Hype Analysis.
At this time, it appears that Credit Suisse'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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Credit Suisse Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Credit Suisse is to make sure Credit is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Credit Suisse'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 Credit Suisse's financial numbers are properly reported.
About Credit Suisse 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 Credit Suisse Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Credit Suisse High's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Credit Suisse using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Credit Suisse High 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.
Other Information on Investing in Credit Etf
Credit Suisse financial ratios help investors to determine whether Credit 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 Credit with respect to the benefits of owning Credit Suisse security.