Vanguard Extended Duration Etf Market Value
| EDV Etf | USD 70.43 0.48 0.68% |
| Symbol | Vanguard |
The market value of Vanguard Extended is measured differently than its book value, which is the value of Vanguard that is recorded on the company's balance sheet. Investors also form their own opinion of Vanguard Extended's value that differs from its market value or its book value, called intrinsic value, which is Vanguard Extended'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 Vanguard Extended's market value can be influenced by many factors that don't directly affect Vanguard Extended'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 Vanguard Extended's value and its price as these two are different measures arrived at by different means. Investors typically determine if Vanguard Extended is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Vanguard Extended'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.
Vanguard Extended '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 Vanguard Extended'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 Vanguard Extended.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Vanguard Extended on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Vanguard Extended Duration or generate 0.0% return on investment in Vanguard Extended over 90 days. Vanguard Extended is related to or competes with Vanguard Long, Vanguard Long, Vanguard Long, PIMCO 25, and Vanguard Intermediate. The advisor employs an indexing investment approach designed to track the performance of the Bloomberg U.S More
Vanguard Extended 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 Vanguard Extended'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 Vanguard Extended Duration upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0077 | |||
| Maximum Drawdown | 4.49 | |||
| Value At Risk | (1.94) | |||
| Potential Upside | 2.32 |
Vanguard Extended Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Extended's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Extended's standard deviation. In reality, there are many statistical measures that can use Vanguard Extended historical prices to predict the future Vanguard Extended's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | 0.0476 | |||
| Treynor Ratio | (1.14) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vanguard Extended'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.
Vanguard Extended Backtested Returns
At this stage we consider Vanguard Etf to be very steady. Vanguard Extended owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the etf had a close to zero % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Vanguard Extended Duration, which you can use to evaluate the volatility of the etf. Please validate Vanguard Extended's Risk Adjusted Performance of (0.06), coefficient of variation of (1,309), and Variance of 1.39 to confirm if the risk estimate we provide is consistent with the expected return of 0.0057%. The entity has a beta of 0.0878, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Vanguard Extended's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vanguard Extended is expected to be smaller as well.
Auto-correlation | -0.46 |
Modest reverse predictability
Vanguard Extended Duration has modest reverse predictability. Overlapping area represents the amount of predictability between Vanguard Extended time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 Vanguard Extended price movement. The serial correlation of -0.46 indicates that about 46.0% of current Vanguard Extended price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 2.48 |
Vanguard Extended lagged returns against current returns
Autocorrelation, which is Vanguard Extended 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 Vanguard Extended's etf expected returns. We can calculate the autocorrelation of Vanguard Extended returns to help us make a trade decision. For example, suppose you find that Vanguard Extended 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 |
Vanguard Extended 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 Vanguard Extended etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Extended etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vanguard Extended etf over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Extended Lagged Returns
When evaluating Vanguard Extended's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Extended etf have on its future price. Vanguard Extended 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, Vanguard Extended autocorrelation shows the relationship between Vanguard Extended etf current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Extended Duration.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Vanguard Extended Correlation, Vanguard Extended Volatility and Vanguard Extended Alpha and Beta module to complement your research on Vanguard Extended. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Vanguard Extended 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.