Ishares Self Driving Ev Etf Z Score
| IDRV Etf | USD 30.37 0.66 2.13% |
IShares |
iShares Self Driving EV ETF Z Score Analysis
IShares Self'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..
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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.
| Competition |
According to the company's disclosures, iShares Self Driving EV has a Z Score of 0.0. This indicator is about the same for the iShares average (which is currently at 0.0) family and about the same as Industrials (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
IShares Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses IShares Self's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of IShares Self could also be used in its relative valuation, which is a method of valuing IShares Self by comparing valuation metrics of similar companies.IShares Self is currently under evaluation in z score as compared to similar ETFs.
Fund Asset Allocation for IShares Self
The fund invests 99.54% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides IShares Self'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
| Number Of Employees | 403 | |||
| Beta | 1.57 | |||
| Total Asset | 394.31 M | |||
| One Year Return | (6.90) % | |||
| Three Year Return | (15.40) % | |||
| Five Year Return | 4.90 % | |||
| Net Asset | 394.31 M | |||
| Last Dividend Paid | 0.17 | |||
| Equity Positions Weight | 99.54 % |
About IShares Self Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze iShares Self Driving EV's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of IShares Self using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of iShares Self Driving EV 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.
Thematic Opportunities
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Check out IShares Self Piotroski F Score and Portfolio Optimization analysis. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
The market value of iShares Self Driving is measured differently than its book value, which is the value of IShares that is recorded on the company's balance sheet. Investors also form their own opinion of IShares Self's value that differs from its market value or its book value, called intrinsic value, which is IShares Self's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because IShares Self's market value can be influenced by many factors that don't directly affect IShares Self's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between IShares Self's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Self is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Self'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.