Ishares Ibonds 2026 Etf Market Value
| IBHF Etf | USD 23.24 0.01 0.04% |
| Symbol | IShares |
The market value of iShares iBonds 2026 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 IBonds' value that differs from its market value or its book value, called intrinsic value, which is IShares IBonds' 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 IBonds' market value can be influenced by many factors that don't directly affect IShares IBonds' 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 IBonds' value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares IBonds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares IBonds' 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 IBonds '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 IBonds' 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 IBonds.
| 05/28/2024 |
| 11/24/2024 |
If you would invest 0.00 in IShares IBonds on May 28, 2024 and sell it all today you would earn a total of 0.00 from holding iShares iBonds 2026 or generate 0.0% return on investment in IShares IBonds over 180 days. IShares IBonds is related to or competes with First Trust, First Trust, First Trust, First Trust, and First Trust. The fund seeks to meet its investment objective generally by investing in component securities of the index More
IShares IBonds 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 IBonds' 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 iBonds 2026 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1216 | |||
| Information Ratio | (0.68) | |||
| Maximum Drawdown | 0.6113 | |||
| Value At Risk | (0.17) | |||
| Potential Upside | 0.3463 |
IShares IBonds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares IBonds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares IBonds' standard deviation. In reality, there are many statistical measures that can use IShares IBonds historical prices to predict the future IShares IBonds' volatility.| Risk Adjusted Performance | 0.1466 | |||
| Jensen Alpha | 0.0193 | |||
| Total Risk Alpha | 0.0029 | |||
| Sortino Ratio | (0.79) | |||
| Treynor Ratio | 0.522 |
iShares iBonds 2026 Backtested Returns
At this point, IShares IBonds is very steady. iShares iBonds 2026 holds Efficiency (Sharpe) Ratio of 0.23, which attests that the entity had a 0.23% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares iBonds 2026, which you can use to evaluate the volatility of the entity. Please check out IShares IBonds' Market Risk Adjusted Performance of 0.532, risk adjusted performance of 0.1466, and Coefficient Of Variation of 401.2 to validate if the risk estimate we provide is consistent with the expected return of 0.0315%. The etf retains a Market Volatility (i.e., Beta) of 0.048, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares IBonds' returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares IBonds is expected to be smaller as well.
Auto-correlation | 0.90 |
Excellent predictability
iShares iBonds 2026 has excellent predictability. Overlapping area represents the amount of predictability between IShares IBonds time series from 28th of May 2024 to 26th of August 2024 and 26th of August 2024 to 24th 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 iBonds 2026 price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current IShares IBonds price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.93 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
iShares iBonds 2026 lagged returns against current returns
Autocorrelation, which is IShares IBonds 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 IBonds' etf expected returns. We can calculate the autocorrelation of IShares IBonds returns to help us make a trade decision. For example, suppose you find that IShares IBonds 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 IBonds 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 IBonds etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares IBonds etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares IBonds etf over time.
Current vs Lagged Prices |
| Timeline |
IShares IBonds Lagged Returns
When evaluating IShares IBonds' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares IBonds etf have on its future price. IShares IBonds 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 IBonds autocorrelation shows the relationship between IShares IBonds etf current value and its past values and can show if there is a momentum factor associated with investing in iShares iBonds 2026.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether iShares iBonds 2026 is a strong investment it is important to analyze IShares IBonds' 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 IBonds' future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:Check out IShares IBonds Correlation, IShares IBonds Volatility and IShares IBonds Alpha and Beta module to complement your research on IShares IBonds. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
IShares IBonds 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.