Blackrock Etf Trust Etf Market Value
| BAI Etf | 30.11 0.23 0.77% |
| Symbol | BlackRock |
The market value of BlackRock ETF Trust is measured differently than its book value, which is the value of BlackRock that is recorded on the company's balance sheet. Investors also form their own opinion of BlackRock ETF's value that differs from its market value or its book value, called intrinsic value, which is BlackRock ETF'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 BlackRock ETF's market value can be influenced by many factors that don't directly affect BlackRock ETF'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 BlackRock ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if BlackRock ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BlackRock ETF'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.
BlackRock ETF '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 BlackRock ETF'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 BlackRock ETF.
| 04/20/2025 |
| 07/19/2025 |
If you would invest 0.00 in BlackRock ETF on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding BlackRock ETF Trust or generate 0.0% return on investment in BlackRock ETF over 90 days. BlackRock ETF is related to or competes with Franklin Templeton, Tidal Trust, IShares Dividend, Altrius Global, Invesco Exchange, Franklin International, and Madison ETFs. BlackRock ETF is entity of United States More
BlackRock ETF 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 BlackRock ETF'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 BlackRock ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.24 | |||
| Information Ratio | 0.2711 | |||
| Maximum Drawdown | 6.77 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 2.77 |
BlackRock ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BlackRock ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BlackRock ETF's standard deviation. In reality, there are many statistical measures that can use BlackRock ETF historical prices to predict the future BlackRock ETF's volatility.| Risk Adjusted Performance | 0.3471 | |||
| Jensen Alpha | 0.5385 | |||
| Total Risk Alpha | 0.3215 | |||
| Sortino Ratio | 0.3188 | |||
| Treynor Ratio | (5.20) |
BlackRock ETF Trust Backtested Returns
BlackRock ETF appears to be very steady, given 3 months investment horizon. BlackRock ETF Trust secures Sharpe Ratio (or Efficiency) of 0.5, which signifies that the etf had a 0.5 % return per unit of standard deviation over the last 3 months. By analyzing BlackRock ETF's technical indicators, you can evaluate if the expected return of 0.68% is justified by implied risk. Please makes use of BlackRock ETF's risk adjusted performance of 0.3471, and Mean Deviation of 1.07 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of -0.1, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning BlackRock ETF are expected to decrease at a much lower rate. During the bear market, BlackRock ETF is likely to outperform the market.
Auto-correlation | 0.91 |
Excellent predictability
BlackRock ETF Trust has excellent predictability. Overlapping area represents the amount of predictability between BlackRock ETF time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of BlackRock ETF Trust price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current BlackRock ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.91 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 1.07 |
BlackRock ETF Trust lagged returns against current returns
Autocorrelation, which is BlackRock ETF 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 BlackRock ETF's etf expected returns. We can calculate the autocorrelation of BlackRock ETF returns to help us make a trade decision. For example, suppose you find that BlackRock ETF 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 |
BlackRock ETF 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 BlackRock ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BlackRock ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BlackRock ETF etf over time.
Current vs Lagged Prices |
| Timeline |
BlackRock ETF Lagged Returns
When evaluating BlackRock ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BlackRock ETF etf have on its future price. BlackRock ETF 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, BlackRock ETF autocorrelation shows the relationship between BlackRock ETF etf current value and its past values and can show if there is a momentum factor associated with investing in BlackRock ETF Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether BlackRock ETF Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if BlackRock Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Blackrock Etf Trust Etf. Highlighted below are key reports to facilitate an investment decision about Blackrock Etf Trust Etf:Check out BlackRock ETF Correlation, BlackRock ETF Volatility and BlackRock ETF Alpha and Beta module to complement your research on BlackRock ETF. For more detail on how to invest in BlackRock Etf please use our How to Invest in BlackRock ETF guide.You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
BlackRock ETF 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.