| MSNCX Fund | | | USD 10.77 0.00 0.00% |
This module uses fundamental data of Mfs North to approximate its Piotroski F score. Mfs North F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Mfs North Carolina. 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 Mfs North financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mfs North Carolina. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as
signals in main economic indicators.
At this time, it appears that Mfs North'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..
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Piotroski F Score - Inapplicable
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Mfs North Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Mfs North is to make sure Mfs is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Mfs North'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 Mfs North's financial numbers are properly reported.
About Mfs North 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 Mfs North Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Mfs North Carolina's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Mfs North using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Mfs North Carolina based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, 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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Other Information on Investing in Mfs Mutual Fund
Mfs North financial ratios help investors to determine whether Mfs Mutual Fund 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 Mfs with respect to the benefits of owning Mfs North security.
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