| RYJUX Fund | | | USD 205.33 1.16 0.57% |
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
Your Equity Center to better understand how to build diversified portfolios, which includes a position in Inverse Government Long. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as
signals in employment.
Inverse Government Long Mutual Fund Z Score Analysis
Inverse Government's 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, Inverse Government Long has a Z Score of 0.0. This indicator is about the same for the Rydex Funds average (which is currently at 0.0) family and about the same as
Trading--Inverse Debt (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).
Inverse Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Inverse Government's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Inverse Government could also be used in its relative valuation, which is a method of valuing Inverse Government by comparing valuation metrics of similar companies.
Inverse Government is currently under evaluation in z score among similar funds.
Fund Asset Allocation for Inverse Government
The fund invests most of its asset under management in cash, cash equivalents, or other money market funds. .
Asset allocation divides Inverse Government's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Inverse Fundamentals
About Inverse Government Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Inverse Government Long's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Inverse Government using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Inverse Government Long 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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Your Equity Center to better understand how to build diversified portfolios, which includes a position in Inverse Government Long. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as
signals in employment.
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Please note, there is a significant difference between Inverse Government's value and its price as these two are different measures arrived at by different means. Investors typically determine if Inverse Government is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Inverse Government'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.