Ishares Trust Etf Market Value
| IBDU Etf | USD 23.08 0.06 0.26% |
| Symbol | IShares |
The market value of iShares 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 Trust's value that differs from its market value or its book value, called intrinsic value, which is IShares Trust'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 Trust's market value can be influenced by many factors that don't directly affect IShares Trust'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 Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Trust'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 Trust '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 Trust'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 Trust.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in IShares Trust on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding iShares Trust or generate 0.0% return on investment in IShares Trust over 720 days. IShares Trust is related to or competes with IShares IBonds, IShares IBonds, IShares IBonds, IShares IBonds, and IShares Trust. The fund is a term fund that will terminate on or about December 15, 2029, at which time it will distribute its remainin... More
IShares Trust 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 Trust'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 Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.64) | |||
| Maximum Drawdown | 1.0 | |||
| Value At Risk | (0.30) | |||
| Potential Upside | 0.3433 |
IShares Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Trust's standard deviation. In reality, there are many statistical measures that can use IShares Trust historical prices to predict the future IShares Trust's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 1.6 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Trust's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
iShares Trust Backtested Returns
Currently, iShares Trust is very steady. iShares Trust holds Efficiency (Sharpe) Ratio of 0.0074, which attests that the entity had a 0.0074% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for iShares Trust, which you can use to evaluate the volatility of the entity. Please check out IShares Trust's Risk Adjusted Performance of (0.04), market risk adjusted performance of 1.61, and Standard Deviation of 0.2101 to validate if the risk estimate we provide is consistent with the expected return of 0.0016%. The etf retains a Market Volatility (i.e., Beta) of -0.009, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IShares Trust are expected to decrease at a much lower rate. During the bear market, IShares Trust is likely to outperform the market.
Auto-correlation | -0.18 |
Insignificant reverse predictability
iShares Trust has insignificant reverse predictability. Overlapping area represents the amount of predictability between IShares Trust time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 Trust price movement. The serial correlation of -0.18 indicates that over 18.0% of current IShares Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
iShares Trust lagged returns against current returns
Autocorrelation, which is IShares Trust 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 Trust's etf expected returns. We can calculate the autocorrelation of IShares Trust returns to help us make a trade decision. For example, suppose you find that IShares Trust 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 Trust 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 Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Trust etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Trust Lagged Returns
When evaluating IShares Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Trust etf have on its future price. IShares Trust 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 Trust autocorrelation shows the relationship between IShares Trust etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Trust .
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out IShares Trust Correlation, IShares Trust Volatility and IShares Trust Alpha and Beta module to complement your research on IShares Trust. For more information on how to buy IShares Etf please use our How to Invest in IShares Trust guide.You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
IShares Trust 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.