| IUSA Etf | | | USD 59.76 0.34 0.57% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check 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 closely tied with the direction of predictive economic indicators such as
signals in board of governors.
iShares SP 500 ETF Z Score Analysis
IShares SP's 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..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
|
| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
|
| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
|
| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
|
| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
|
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.
According to the company's disclosures, iShares SP 500 has a Z Score of 0.0. This indicator is about the same for the BlackRock Asset Management Ireland - ETF average (which is currently at 0.0) family and about the same as Z Score (which currently averages 0.0) category. This indicator is about the same for all Switzerland etfs average (which is currently at 0.0).
| | Stocks DirectoryFind actively traded stocks across global markets |
Fund Asset Allocation for IShares SP
The fund invests 99.79% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments. Asset allocation divides IShares SP's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
IShares Fundamentals
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.
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.Additional Information and Resources on Investing in IShares Etf
When determining whether iShares SP 500 is a strong investment it is important to analyze IShares SP'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 SP'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 SP 500. 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.
You can also try the
Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .