Exponential Etfs Etf Probability Of Bankruptcy
Exponential ETFs' risk of distress is under 9% at this time. It has tiny likelihood of undergoing some form of financial hardship in the near future. Exponential ETFs' Probability of financial unrest is determined by interpolating and adjusting Exponential Altman Z Score to account for off-balance-sheet items and missing or unfiled public information. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area.
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Exponential ETFs ETF probability of financial unrest Analysis
Exponential ETFs' Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Exponential ETFs Probability Of Bankruptcy | Less than 9% |
Most of Exponential ETFs' fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Exponential ETFs is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Exponential ETFs probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Exponential ETFs odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Exponential ETFs financial health.
The market value of Exponential ETFs is measured differently than its book value, which is the value of Exponential that is recorded on the company's balance sheet. Investors also form their own opinion of Exponential ETFs' value that differs from its market value or its book value, called intrinsic value, which is Exponential ETFs' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Exponential ETFs' market value can be influenced by many factors that don't directly affect Exponential ETFs' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Exponential ETFs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Exponential ETFs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Exponential ETFs' 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.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
CompetitionBased on the latest financial disclosure, Exponential ETFs has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the Exponential ETFs family and significantly higher than that of the Mid-Cap Value category. The probability of bankruptcy for all United States etfs is notably lower than that of the firm.
Exponential Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Exponential ETFs' direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Exponential ETFs could also be used in its relative valuation, which is a method of valuing Exponential ETFs by comparing valuation metrics of similar companies.Exponential ETFs is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
Exponential Fundamentals
| Number Of Employees | 587 | |||
| Total Asset | 20.46 M | |||
| One Year Return | 69.40 % | |||
| Three Year Return | 14.87 % | |||
| Net Asset | 20.46 M | |||
| Last Dividend Paid | 0.32 | |||
| Equity Positions Weight | 99.96 % |
Thematic Opportunities
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Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Other Tools for Exponential Etf
When running Exponential ETFs' price analysis, check to measure Exponential ETFs' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Exponential ETFs is operating at the current time. Most of Exponential ETFs' value examination focuses on studying past and present price action to predict the probability of Exponential ETFs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Exponential ETFs' price. Additionally, you may evaluate how the addition of Exponential ETFs to your portfolios can decrease your overall portfolio volatility.
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