Ishares Short Maturity Etf Market Value
| NEAR Etf | USD 50.79 0.05 0.1% |
| Symbol | IShares |
The market value of iShares Short Maturity 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 Short's value that differs from its market value or its book value, called intrinsic value, which is IShares Short'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 Short's market value can be influenced by many factors that don't directly affect IShares Short'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 Short's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares Short is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares Short'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 Short '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 Short'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 Short.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in IShares Short on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding iShares Short Maturity or generate 0.0% return on investment in IShares Short over 30 days. IShares Short is related to or competes with Invesco Ultra, IShares Ultra, PIMCO Enhanced, IShares Floating, and IShares Short. The fund seeks to achieve its investment objective by investing, under normal circumstances, at least 80 percent of its ... More
IShares Short 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 Short'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 Short Maturity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1118 | |||
| Information Ratio | (1.20) | |||
| Maximum Drawdown | 0.4349 | |||
| Value At Risk | (0.18) | |||
| Potential Upside | 0.1779 |
IShares Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Short's standard deviation. In reality, there are many statistical measures that can use IShares Short historical prices to predict the future IShares Short's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (1.10) | |||
| Treynor Ratio | 0.3791 |
iShares Short Maturity Backtested Returns
Currently, iShares Short Maturity is very steady. iShares Short Maturity holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Short Maturity, which you can use to evaluate the volatility of the entity. Please check out IShares Short's Downside Deviation of 0.1118, market risk adjusted performance of 0.3891, and Risk Adjusted Performance of (0.01) to validate if the risk estimate we provide is consistent with the expected return of 0.012%. The etf retains a Market Volatility (i.e., Beta) of -0.0065, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IShares Short are expected to decrease at a much lower rate. During the bear market, IShares Short is likely to outperform the market.
Auto-correlation | 0.22 |
Weak predictability
iShares Short Maturity has weak predictability. Overlapping area represents the amount of predictability between IShares Short time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 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 Short Maturity price movement. The serial correlation of 0.22 indicates that over 22.0% of current IShares Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
iShares Short Maturity lagged returns against current returns
Autocorrelation, which is IShares Short 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 Short's etf expected returns. We can calculate the autocorrelation of IShares Short returns to help us make a trade decision. For example, suppose you find that IShares Short 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 Short 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 Short etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares Short etf over time.
Current vs Lagged Prices |
| Timeline |
IShares Short Lagged Returns
When evaluating IShares Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Short etf have on its future price. IShares Short 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 Short autocorrelation shows the relationship between IShares Short etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Short Maturity.
Regressed Prices |
| Timeline |
Pair Trading with IShares Short
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 Short 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 Short will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
| 0.74 | BSV | Vanguard Short Term | PairCorr |
| 0.91 | IGSB | iShares 1 5 | PairCorr |
| 0.95 | SPSB | SPDR Barclays Short | PairCorr |
| 0.86 | ISTB | iShares Core 1 | PairCorr |
| 0.97 | SLQD | iShares 0 5 | PairCorr |
Moving against IShares Etf
| 0.31 | NVDL | GraniteShares 15x Long | PairCorr |
| 0.31 | NVDX | T Rex 2X | PairCorr |
| 0.31 | NVDU | Direxion Daily NVDA | PairCorr |
The ability to find closely correlated positions to IShares Short 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 Short 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 Short - 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 Short Maturity to buy it.
The correlation of IShares Short 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 Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares Short Maturity 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 Short 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 Short Correlation, IShares Short Volatility and IShares Short Alpha and Beta module to complement your research on IShares Short. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
IShares Short 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.