| WHEA Etf | | | EUR 56.49 0.02 0.04% |
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
Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in SPDR MSCI World. 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.
SPDR MSCI World ETF Z Score Analysis
SPDR MSCI'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.
As per the company's disclosures, SPDR MSCI World has a Z Score of 0.0. This indicator is about the same for the State Street Global Advisors Ltd 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 Netherlands etfs average (which is currently at 0.0).
| | Commodity ChannelUse Commodity Channel Index to analyze current equity momentum |
Fund Asset Allocation for SPDR MSCI
The fund consists of 97.78% investments in stocks, with the rest of investments allocated between various types of exotic instruments. Asset allocation divides SPDR MSCI'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.
SPDR Fundamentals
About SPDR MSCI Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze SPDR MSCI World's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of SPDR MSCI using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of SPDR MSCI World 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.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Additional Information and Resources on Investing in SPDR Etf
When determining whether SPDR MSCI World is a strong investment it is important to analyze SPDR MSCI'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 SPDR MSCI's future performance. For an informed investment choice regarding SPDR Etf, refer to the following important reports: Check out
Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in SPDR MSCI World. 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
Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.