Etfs Commodity Securities Etf Probability Of Bankruptcy
ECYWFDelisted Etf | USD 0.78 0.00 0.00% |
ETFS |
ETFS Commodity Securities OTC Etf chance of financial distress Analysis
ETFS Commodity's 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 ETFS Commodity Probability Of Bankruptcy | Over 100% |
Most of ETFS Commodity's 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, ETFS Commodity Securities is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of ETFS Commodity 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 ETFS Commodity 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 ETFS Commodity Securities financial health.
Please note, there is a significant difference between ETFS Commodity's value and its price as these two are different measures arrived at by different means. Investors typically determine if ETFS Commodity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETFS Commodity'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. 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.
Based on the latest financial disclosure, ETFS Commodity Securities has a Probability Of Bankruptcy of 100%. This is much higher than that of the family and significantly higher than that of the Probability Of Bankruptcy category. The probability of bankruptcy for all United States etfs is notably lower than that of the firm.
ETFS Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses ETFS Commodity's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the otc etfs which would be a good addition to a portfolio. Peer analysis of ETFS Commodity could also be used in its relative valuation, which is a method of valuing ETFS Commodity by comparing valuation metrics of similar companies.ETFS Commodity is rated # 2 ETF in probability of bankruptcy as compared to similar ETFs.
About ETFS Commodity Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze ETFS Commodity Securities's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of ETFS Commodity using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of ETFS Commodity Securities based on its fundamental data. In general, a quantitative approach, as applied to this otc 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.
Currently Active Assets on Macroaxis
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any otc etf could be closely tied with the direction of predictive economic indicators such as signals in housing. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Other Consideration for investing in ETFS OTC Etf
If you are still planning to invest in ETFS Commodity Securities 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 ETFS Commodity's history and understand the potential risks before investing.
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Share Portfolio Track or share privately all of your investments from the convenience of any device |