Ishares Mbs Etf Market Value
| MBB Etf | USD 92.41 0.08 0.09% |
| Symbol | IShares |
The market value of iShares MBS ETF 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 MBS's value that differs from its market value or its book value, called intrinsic value, which is IShares MBS'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 MBS's market value can be influenced by many factors that don't directly affect IShares MBS'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 MBS's value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares MBS is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares MBS'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 MBS '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 MBS'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 MBS.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in IShares MBS on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding iShares MBS ETF or generate 0.0% return on investment in IShares MBS over 30 days. IShares MBS is related to or competes with IShares 3, IShares JP, IShares Intermediate, IShares National, and IShares Short. The fund will invest at least 80 percent of its assets in the component securities of the underlying index and TBAs that... More
IShares MBS 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 MBS'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 MBS ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.45) | |||
| Maximum Drawdown | 1.7 | |||
| Value At Risk | (0.67) | |||
| Potential Upside | 0.4348 |
IShares MBS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares MBS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares MBS's standard deviation. In reality, there are many statistical measures that can use IShares MBS historical prices to predict the future IShares MBS's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.54) |
iShares MBS ETF Backtested Returns
iShares MBS ETF holds Efficiency (Sharpe) Ratio of -0.11, which attests that the entity had a -0.11% return per unit of risk over the last 3 months. iShares MBS ETF exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IShares MBS's Standard Deviation of 0.3214, market risk adjusted performance of (0.53), and Risk Adjusted Performance of (0.1) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0837, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IShares MBS's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares MBS is expected to be smaller as well.
Auto-correlation | 0.53 |
Modest predictability
iShares MBS ETF has modest predictability. Overlapping area represents the amount of predictability between IShares MBS 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 MBS ETF price movement. The serial correlation of 0.53 indicates that about 53.0% of current IShares MBS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
iShares MBS ETF lagged returns against current returns
Autocorrelation, which is IShares MBS 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 MBS's etf expected returns. We can calculate the autocorrelation of IShares MBS returns to help us make a trade decision. For example, suppose you find that IShares MBS 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 MBS 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 MBS etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IShares MBS etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IShares MBS etf over time.
Current vs Lagged Prices |
| Timeline |
IShares MBS Lagged Returns
When evaluating IShares MBS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares MBS etf have on its future price. IShares MBS 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 MBS autocorrelation shows the relationship between IShares MBS etf current value and its past values and can show if there is a momentum factor associated with investing in iShares MBS ETF.
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 MBS ETF offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IShares MBS'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 Mbs Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Ishares Mbs Etf:Check out IShares MBS Correlation, IShares MBS Volatility and IShares MBS Alpha and Beta module to complement your research on IShares MBS. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
IShares MBS 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.