Bondbloxx Etf Trust Etf Market Value
| XHYT Etf | USD 35.51 0.37 1.05% |
| Symbol | BondBloxx |
The market value of BondBloxx ETF Trust is measured differently than its book value, which is the value of BondBloxx that is recorded on the company's balance sheet. Investors also form their own opinion of BondBloxx ETF's value that differs from its market value or its book value, called intrinsic value, which is BondBloxx 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 BondBloxx ETF's market value can be influenced by many factors that don't directly affect BondBloxx 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 BondBloxx ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if BondBloxx ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, BondBloxx 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.
BondBloxx 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 BondBloxx 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 BondBloxx ETF.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in BondBloxx ETF on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding BondBloxx ETF Trust or generate 0.0% return on investment in BondBloxx ETF over 30 days. BondBloxx ETF is related to or competes with BondBloxx ETF, BondBloxx ETF, BondBloxx ETF, BondBloxx ETF, and BondBloxx ETF. Under normal circumstances, the fund will invest at least 80 percent of its net assets in high-yield, below-investment g... More
BondBloxx 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 BondBloxx 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 BondBloxx ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2727 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 1.23 | |||
| Value At Risk | (0.40) | |||
| Potential Upside | 0.5502 |
BondBloxx ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BondBloxx ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BondBloxx ETF's standard deviation. In reality, there are many statistical measures that can use BondBloxx ETF historical prices to predict the future BondBloxx ETF's volatility.| Risk Adjusted Performance | 0.2057 | |||
| Jensen Alpha | 0.0562 | |||
| Total Risk Alpha | 0.0298 | |||
| Sortino Ratio | (0.16) | |||
| Treynor Ratio | 0.4396 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of BondBloxx ETF'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.
BondBloxx ETF Trust Backtested Returns
Currently, BondBloxx ETF Trust is very steady. BondBloxx ETF Trust secures Sharpe Ratio (or Efficiency) of 0.28, which signifies that the etf had a 0.28% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for BondBloxx ETF Trust, which you can use to evaluate the volatility of the entity. Please confirm BondBloxx ETF's Mean Deviation of 0.2318, coefficient of variation of 346.02, and Risk Adjusted Performance of 0.2057 to double-check if the risk estimate we provide is consistent with the expected return of 0.086%. The etf shows a Beta (market volatility) of 0.18, which signifies not very significant fluctuations relative to the market. As returns on the market increase, BondBloxx ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding BondBloxx ETF is expected to be smaller as well.
Auto-correlation | 0.55 |
Modest predictability
BondBloxx ETF Trust has modest predictability. Overlapping area represents the amount of predictability between BondBloxx ETF time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 BondBloxx ETF Trust price movement. The serial correlation of 0.55 indicates that about 55.0% of current BondBloxx ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
BondBloxx ETF Trust lagged returns against current returns
Autocorrelation, which is BondBloxx 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 BondBloxx ETF's etf expected returns. We can calculate the autocorrelation of BondBloxx ETF returns to help us make a trade decision. For example, suppose you find that BondBloxx 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 |
BondBloxx 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 BondBloxx ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BondBloxx ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BondBloxx ETF etf over time.
Current vs Lagged Prices |
| Timeline |
BondBloxx ETF Lagged Returns
When evaluating BondBloxx ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BondBloxx ETF etf have on its future price. BondBloxx 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, BondBloxx ETF autocorrelation shows the relationship between BondBloxx ETF etf current value and its past values and can show if there is a momentum factor associated with investing in BondBloxx ETF Trust.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out BondBloxx ETF Correlation, BondBloxx ETF Volatility and BondBloxx ETF Alpha and Beta module to complement your research on BondBloxx ETF. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
BondBloxx 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.