Ishares Trust Etf Market Value
| LDRI Etf | USD 25.05 0.03 0.12% |
| 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.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in IShares Trust on November 1, 2024 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 30 days. IShares Trust is related to or competes with Vanguard Intermediate, Vanguard Short, Vanguard Long, Vanguard Short, and Vanguard Intermediate. The investment seeks to track the investment results of the NASDAQ LadderRite 0-5 Year USD Corporate Bond Index 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 | (1.13) | |||
| Maximum Drawdown | 0.2805 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.2405 |
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.iShares Trust Backtested Returns
IShares Trust is very steady at the moment. iShares Trust holds Efficiency (Sharpe) Ratio of 0.0682, which attests that the entity had a 0.0682% return per unit of risk over the last 3 months. We have found twenty-three technical indicators for iShares Trust, which you can use to evaluate the volatility of the entity. Please check out IShares Trust's insignificant Risk Adjusted Performance, standard deviation of 0.1145, and Market Risk Adjusted Performance of 1.63 to validate if the risk estimate we provide is consistent with the expected return of 0.0075%. The etf retains a Market Volatility (i.e., Beta) of -0.0012, 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 | 0.38 |
Below average predictability
iShares Trust has below average predictability. Overlapping area represents the amount of predictability between IShares Trust time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 0.38 indicates that just about 38.0% of current IShares Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 |
Currently Active Assets on Macroaxis
When determining whether iShares Trust is a strong investment it is important to analyze IShares Trust'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 Trust's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:Check out IShares Trust Correlation, IShares Trust Volatility and IShares Trust Alpha and Beta module to complement your research on IShares Trust. For more detail on how to invest in IShares Etf please use our How to Invest in IShares Trust guide.You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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.