Ishares 1 3 Year Etf Market Value
SHY Etf | USD 82.01 0.01 0.01% |
Symbol | IShares |
The market value of iShares 1 3 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 1's value that differs from its market value or its book value, called intrinsic value, which is IShares 1'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 1's market value can be influenced by many factors that don't directly affect IShares 1'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 1's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares 1 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares 1'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 1 '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 1'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 1.
02/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in IShares 1 on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding iShares 1 3 Year or generate 0.0% return on investment in IShares 1 over 270 days. IShares 1 is related to or competes with SPDR Barclays, Rbb Fund, and Bondbloxx ETF. The fund will invest at least 80 percent of its assets in the component securities of the underlying index and it will i... More
IShares 1 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 1'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 1 3 Year upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.102 | |||
Information Ratio | (1.24) | |||
Maximum Drawdown | 0.5716 | |||
Value At Risk | (0.15) | |||
Potential Upside | 0.1708 |
IShares 1 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares 1's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares 1's standard deviation. In reality, there are many statistical measures that can use IShares 1 historical prices to predict the future IShares 1's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0) | |||
Total Risk Alpha | (0.02) | |||
Sortino Ratio | (1.24) | |||
Treynor Ratio | 0.4629 |
iShares 1 3 Backtested Returns
At this stage we consider IShares Etf to be very steady. iShares 1 3 holds Efficiency (Sharpe) Ratio of 0.0063, which attests that the entity had a 0.0063% return per unit of risk over the last 3 months. We have found thirty technical indicators for iShares 1 3, which you can use to evaluate the volatility of the entity. Please check out IShares 1's Downside Deviation of 0.102, market risk adjusted performance of 0.4729, and Risk Adjusted Performance of (0.03) to validate if the risk estimate we provide is consistent with the expected return of 6.0E-4%. The etf retains a Market Volatility (i.e., Beta) of -0.0123, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning IShares 1 are expected to decrease at a much lower rate. During the bear market, IShares 1 is likely to outperform the market.
Auto-correlation | 0.23 |
Weak predictability
iShares 1 3 Year has weak predictability. Overlapping area represents the amount of predictability between IShares 1 time series from 29th of February 2024 to 13th of July 2024 and 13th of July 2024 to 25th 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 1 3 price movement. The serial correlation of 0.23 indicates that over 23.0% of current IShares 1 price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.23 | |
Spearman Rank Test | 0.29 | |
Residual Average | 0.0 | |
Price Variance | 0.26 |
iShares 1 3 lagged returns against current returns
Autocorrelation, which is IShares 1 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 1's etf expected returns. We can calculate the autocorrelation of IShares 1 returns to help us make a trade decision. For example, suppose you find that IShares 1 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 1 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 1 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares 1 etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares 1 etf over time.
Current vs Lagged Prices |
Timeline |
IShares 1 Lagged Returns
When evaluating IShares 1's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares 1 etf have on its future price. IShares 1 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 1 autocorrelation shows the relationship between IShares 1 etf current value and its past values and can show if there is a momentum factor associated with investing in iShares 1 3 Year.
Regressed Prices |
Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether iShares 1 3 offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares 1'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 1 3 Year Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares 1 3 Year Etf:Check out IShares 1 Correlation, IShares 1 Volatility and IShares 1 Alpha and Beta module to complement your research on IShares 1. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
IShares 1 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.