Ishares Ibonds Dec Etf Market Value
| IBDR Etf | USD 24.08 0.02 0.08% |
| Symbol | IShares |
The market value of iShares iBonds Dec 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.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in IShares IBonds on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding iShares iBonds Dec 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, and IShares IBonds. The fund will invest at least 80 percent of its assets in the component securities of the underlying index, and it will ... 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 Dec upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0812 | |||
| Information Ratio | (1.16) | |||
| Maximum Drawdown | 0.4162 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1659 |
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 | 0.0527 | |||
| Jensen Alpha | 0.0042 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (1.17) | |||
| Treynor Ratio | 1.14 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares IBonds' 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 iBonds Dec Backtested Returns
Currently, iShares iBonds Dec is out of control. iShares iBonds Dec holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares iBonds Dec, which you can use to evaluate the volatility of the entity. Please check out IShares IBonds' Coefficient Of Variation of 560.81, risk adjusted performance of 0.0527, and Market Risk Adjusted Performance of 1.15 to validate if the risk estimate we provide is consistent with the expected return of 0.0119%. The etf retains a Market Volatility (i.e., Beta) of 0.004, 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 | -0.01 |
Very weak reverse predictability
iShares iBonds Dec has very weak reverse predictability. Overlapping area represents the amount of predictability between IShares IBonds time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Dec price movement. The serial correlation of -0.01 indicates that just 1.0% of current IShares IBonds price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
iShares iBonds Dec 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 Dec.
Regressed Prices |
| Timeline |
Pair Trading with IShares IBonds
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if IShares IBonds position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IShares IBonds will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
The ability to find closely correlated positions to IShares IBonds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares IBonds when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back IShares IBonds - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling iShares iBonds Dec to buy it.
The correlation of IShares IBonds is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IShares IBonds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares iBonds Dec moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for IShares IBonds can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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.