Volatility Shares Trust Etf Z Score
ZIVBDelisted Etf | 20.50 0.03 0.15% |
Volatility |
Volatility Shares Trust ETF Z Score Analysis
Volatility Shares' 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..
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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.
Competition |
As per the company's disclosures, Volatility Shares Trust has a Z Score of 0.0. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Trading--Inverse Equity (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
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About Volatility Shares Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Volatility Shares Trust's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Volatility Shares using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Volatility Shares Trust 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.
Also Currently Popular
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.Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Volatility Shares Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Consideration for investing in Volatility Etf
If you are still planning to invest in Volatility Shares Trust check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Volatility Shares' history and understand the potential risks before investing.
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