Ishares Etf Trust Etf Market Value
| AGIH Etf | USD 24.78 0.08 0.32% |
| Symbol | IShares |
The market value of iShares ETF Trust 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 ETF's value that differs from its market value or its book value, called intrinsic value, which is IShares ETF'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 ETF's market value can be influenced by many factors that don't directly affect IShares ETF'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 ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares ETF'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.
IShares ETF 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to IShares ETF's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of IShares ETF.
| 03/05/2024 |
| 11/30/2024 |
If you would invest 0.00 in IShares ETF on March 5, 2024 and sell it all today you would earn a total of 0.00 from holding iShares ETF Trust or generate 0.0% return on investment in IShares ETF over 270 days. IShares ETF is related to or competes with Dimensional ETF, JPMorgan Inflation, Goldman Sachs, Dimensional ETF, and First Trust. The underlying index is designed to minimize the inflation risk of a portfolio composed of U.S More
IShares ETF Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure IShares ETF's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess iShares ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.293 | |||
| Information Ratio | (0.53) | |||
| Maximum Drawdown | 1.14 | |||
| Value At Risk | (0.36) | |||
| Potential Upside | 0.36 |
IShares ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares ETF's standard deviation. In reality, there are many statistical measures that can use IShares ETF historical prices to predict the future IShares ETF's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.47) | |||
| Treynor Ratio | (0.19) |
iShares ETF Trust Backtested Returns
IShares ETF is very steady at the moment. iShares ETF Trust holds Efficiency (Sharpe) Ratio of 0.0158, which attests that the entity had a 0.0158% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for iShares ETF Trust, which you can use to evaluate the volatility of the entity. Please check out IShares ETF's Downside Deviation of 0.293, risk adjusted performance of (0.02), and Market Risk Adjusted Performance of (0.18) to validate if the risk estimate we provide is consistent with the expected return of 0.0041%. The etf retains a Market Volatility (i.e., Beta) of 0.0506, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares ETF is expected to be smaller as well.
Auto-correlation | -0.19 |
Insignificant reverse predictability
iShares ETF Trust has insignificant reverse predictability. Overlapping area represents the amount of predictability between IShares ETF time series from 5th of March 2024 to 18th of July 2024 and 18th of July 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of iShares ETF Trust price movement. The serial correlation of -0.19 indicates that over 19.0% of current IShares ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
iShares ETF Trust lagged returns against current returns
Autocorrelation, which is IShares ETF etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting IShares ETF's etf expected returns. We can calculate the autocorrelation of IShares ETF returns to help us make a trade decision. For example, suppose you find that IShares ETF has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
IShares ETF regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If IShares ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares ETF etf over time.
Current vs Lagged Prices |
| Timeline |
IShares ETF Lagged Returns
When evaluating IShares ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares ETF etf have on its future price. IShares ETF autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, IShares ETF autocorrelation shows the relationship between IShares ETF etf current value and its past values and can show if there is a momentum factor associated with investing in iShares ETF Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether iShares ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Ishares Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Etf Trust Etf:Check out IShares ETF Correlation, IShares ETF Volatility and IShares ETF Alpha and Beta module to complement your research on IShares ETF. For more detail on how to invest in IShares Etf please use our How to Invest in IShares ETF guide.You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
IShares ETF technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.