MAMPX Fund | | | USD 20.86 0.10 0.48% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mfs Series Trust. 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 american community survey.
Mfs Series Trust Mutual Fund Z Score Analysis
Mfs Series' Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
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| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
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| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
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| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
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| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
Based on the company's disclosures, Mfs Series Trust has a Z Score of 0.0. This indicator is about the same for the MFS average (which is currently at 0.0) family and about the same as
Allocation--50% to 70% Equity (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).
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Mfs Fundamentals
About Mfs Series Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Mfs Series Trust's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Mfs Series using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Mfs Series Trust 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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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 Mfs Mutual Fund
Mfs Series 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 Series security.
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