Ishares Short Term National Etf Market Value

SUB Etf  USD 104.51  0.10  0.1%   
IShares Short's market value is the price at which a share of IShares Short trades on a public exchange. It measures the collective expectations of iShares Short Term National investors about its performance. IShares Short is trading at 104.51 as of the 25th of April 2024, a -0.1 percent decrease since the beginning of the trading day. The etf's open price was 104.61.
With this module, you can estimate the performance of a buy and hold strategy of iShares Short Term National and determine expected loss or profit from investing in IShares Short over a given investment horizon. Check out IShares Short Correlation, IShares Short Volatility and IShares Short Alpha and Beta module to complement your research on IShares Short.
Symbol

The market value of iShares Short Term 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.
0.00
05/01/2023
No Change 0.00  0.0 
In 11 months and 26 days
04/25/2024
0.00
If you would invest  0.00  in IShares Short on May 1, 2023 and sell it all today you would earn a total of 0.00 from holding iShares Short Term National or generate 0.0% return on investment in IShares Short over 360 days. IShares Short is related to or competes with IShares California, SCOR PK, Morningstar Unconstrained, High Yield, SPACE, and Via Renewables. The fund will invest at least 80 percent of its assets in the component securities of the underlying index, and the fund... 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 Term National upside and downside potential and time the market with a certain degree of confidence.

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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IShares Short's 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.
Hype
Prediction
LowEstimatedHigh
104.43104.51104.59
Details
Intrinsic
Valuation
LowRealHigh
96.0996.17114.96
Details
Naive
Forecast
LowNextHigh
104.72104.80104.88
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
104.48104.58104.68
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as IShares Short. Your research has to be compared to or analyzed against IShares Short's peers to derive any actionable benefits. When done correctly, IShares Short's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in iShares Short Term.

iShares Short Term Backtested Returns

We consider IShares Short very steady. iShares Short Term holds Efficiency (Sharpe) Ratio of 0.0196, which attests that the entity had a 0.0196% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Short Term, which you can use to evaluate the volatility of the entity. Please check out IShares Short's Coefficient Of Variation of 1395.16, risk adjusted performance of (0.02), and Market Risk Adjusted Performance of (0.13) to validate if the risk estimate we provide is consistent with the expected return of 0.0016%. The etf retains a Market Volatility (i.e., Beta) of 0.031, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Short is expected to be smaller as well.

Auto-correlation

    
  0.16  

Very weak predictability

iShares Short Term National has very weak predictability. Overlapping area represents the amount of predictability between IShares Short time series from 1st of May 2023 to 28th of October 2023 and 28th of October 2023 to 25th of April 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 Term price movement. The serial correlation of 0.16 indicates that over 16.0% of current IShares Short price fluctuation can be explain by its past prices.
Correlation Coefficient0.16
Spearman Rank Test-0.17
Residual Average0.0
Price Variance0.44

iShares Short Term 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 Term National.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

When determining whether iShares Short Term offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares Short's 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 Short Term National Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Short Term National Etf:
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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.
A focus of IShares Short technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of IShares Short trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...