Ishares Ibonds 2029 Etf Market Value
| IBHI Etf | USD 23.44 0.05 0.21% |
| Symbol | IShares |
The market value of iShares iBonds 2029 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.
| 11/25/2024 |
| 12/25/2024 |
If you would invest 0.00 in IShares IBonds on November 25, 2024 and sell it all today you would earn a total of 0.00 from holding iShares iBonds 2029 or generate 0.0% return on investment in IShares IBonds over 30 days. IShares IBonds is related to or competes with IShares IBonds, IShares IBonds, IShares IBonds, IShares IBonds, and IShares IBonds. The index is composed of U.S. dollar denominated, taxable, fixed-rate, high yield and BBB or equivalently rated corporat... 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 2029 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 1.7 | |||
| Value At Risk | (0.43) | |||
| Potential Upside | 0.3841 |
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 | (0.03) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.37) |
iShares iBonds 2029 Backtested Returns
IShares IBonds is very steady at the moment. iShares iBonds 2029 holds Efficiency (Sharpe) Ratio of 0.0225, which attests that the entity had a 0.0225% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for iShares iBonds 2029, which you can use to evaluate the volatility of the entity. Please check out IShares IBonds' Market Risk Adjusted Performance of (0.36), standard deviation of 0.3197, and Risk Adjusted Performance of (0.03) to validate if the risk estimate we provide is consistent with the expected return of 0.0073%. The etf retains a Market Volatility (i.e., Beta) of 0.0375, 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 | -0.72 |
Almost perfect reverse predictability
iShares iBonds 2029 has almost perfect reverse predictability. Overlapping area represents the amount of predictability between IShares IBonds time series from 25th of November 2024 to 10th of December 2024 and 10th of December 2024 to 25th 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 iBonds 2029 price movement. The serial correlation of -0.72 indicates that around 72.0% of current IShares IBonds price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
iShares iBonds 2029 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 2029.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether iShares iBonds 2029 offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares IBonds' 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 Ibonds 2029 Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Ibonds 2029 Etf: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 Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
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.