Ishares Sp 500 Etf Probability Of Bankruptcy
| IUSC Etf | CHF 79.75 0.32 0.40% |
IShares |
iShares SP 500 ETF odds of financial turmoil Analysis
IShares SP'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 SP Probability Of Bankruptcy | Less than 9% |
Most of IShares SP'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 SP 500 is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of IShares SP 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 SP 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 SP 500 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 SP 500 has a Probability Of Bankruptcy of 9.0%. This is much higher than that of the BlackRock Asset Management Ireland - ETF family and significantly higher than that of the Probability Of Bankruptcy category. The probability of bankruptcy for all Switzerland etfs is notably lower than that of the firm.
Chance Of Distress
Less than 9
High | Low |
Low
iShares SP 500 has less than 9 (%) percent chance of experiencing financial distress in the next two years of operations. The calculation of odds of distress for IShares SP etf is tightly coupled with the Probability of Bankruptcy. It complements the equity performance score by supplying investors with insight into company financials without requiring them to know too much about all of the complex accounting and financial indicators surrounding the entity.
More InfoIShares Fundamentals
| Price To Earning | 19.34 X | |||
| Price To Book | 2.69 X | |||
| Price To Sales | 1.90 X | |||
| Total Asset | 183.24 M | |||
| One Year Return | 7.48 % | |||
| Three Year Return | 11.04 % | |||
| Five Year Return | 8.21 % | |||
| Net Asset | 183.24 M | |||
| Equity Positions Weight | 97.28 % |
About IShares SP Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze iShares SP 500's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of IShares SP using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of iShares SP 500 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards IShares SP in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, IShares SP's short interest history, or implied volatility extrapolated from IShares SP options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in iShares SP 500. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.