Ishares Trust Etf Probability Of Bankruptcy
IYF Etf | MXN 2,379 38.00 1.62% |
IShares |
iShares Trust ETF probability of bankruptcy Analysis
IShares Trust'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 IShares Trust Probability Of Bankruptcy | Less than 9% |
Most of IShares Trust'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, iShares Trust is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of IShares Trust 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 IShares Trust 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 iShares Trust financial health.
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.
Competition |
Based on the latest financial disclosure, iShares Trust has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the iShares family and significantly higher than that of the Probability Of Bankruptcy category. The probability of bankruptcy for all Mexico etfs is notably lower than that of the firm.
IShares Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses IShares Trust's 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 IShares Trust could also be used in its relative valuation, which is a method of valuing IShares Trust by comparing valuation metrics of similar companies.IShares Trust is currently under evaluation in probability of bankruptcy as compared to similar ETFs.
IShares Fundamentals
Price To Earning | 17.25 X | |||
Price To Book | 1.51 X | |||
Price To Sales | 2.70 X | |||
Number Of Employees | 17 | |||
Total Asset | 1.73 B | |||
One Year Return | 9.19 % | |||
Three Year Return | 15.48 % | |||
Five Year Return | 11.11 % | |||
Ten Year Return | 13.20 % | |||
Net Asset | 1.73 B | |||
Equity Positions Weight | 99.73 % |
About IShares Trust Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze iShares Trust 's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of IShares Trust using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of iShares 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.
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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.Additional Information and Resources on Investing in IShares Etf
When determining whether iShares Trust is a strong investment it is important to analyze IShares Trust's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact IShares Trust's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in iShares 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 board of governors. For more information on how to buy IShares Etf please use our How to Invest in IShares Trust guide.You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.