Vanguard Value Index Etf Market Value
| VTV Etf | USD 175.06 0.36 0.21% |
| Symbol | Vanguard |
The market value of Vanguard Value Index 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 Value's value that differs from its market value or its book value, called intrinsic value, which is Vanguard Value'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 Value's market value can be influenced by many factors that don't directly affect Vanguard Value'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 Value's value and its price as these two are different measures arrived at by different means. Investors typically determine if Vanguard Value is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Vanguard Value'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 Value '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 Value'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 Value.
| 06/20/2024 |
| 12/17/2024 |
If you would invest 0.00 in Vanguard Value on June 20, 2024 and sell it all today you would earn a total of 0.00 from holding Vanguard Value Index or generate 0.0% return on investment in Vanguard Value over 180 days. Vanguard Value is related to or competes with Vanguard Growth, Vanguard Small, Vanguard Mid, Vanguard Small, and Vanguard FTSE. The fund employs an indexing investment approach designed to track the performance of the CRSP US Large Cap Value Index,... More
Vanguard Value 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 Value'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 Value Index upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4755 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.47 | |||
| Value At Risk | (0.71) | |||
| Potential Upside | 1.05 |
Vanguard Value Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Value's standard deviation. In reality, there are many statistical measures that can use Vanguard Value historical prices to predict the future Vanguard Value's volatility.| Risk Adjusted Performance | 0.0591 | |||
| Jensen Alpha | 0.0342 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.3825 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vanguard Value'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 Value Index Backtested Returns
At this stage we consider Vanguard Etf to be very steady. Vanguard Value Index owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0562, which indicates the etf had a 0.0562% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Vanguard Value Index, which you can use to evaluate the volatility of the etf. Please validate Vanguard Value's Semi Deviation of 0.3923, coefficient of variation of 1190.26, and Risk Adjusted Performance of 0.0591 to confirm if the risk estimate we provide is consistent with the expected return of 0.0352%. The entity has a beta of 0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Vanguard Value's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vanguard Value is expected to be smaller as well.
Auto-correlation | 0.68 |
Good predictability
Vanguard Value Index has good predictability. Overlapping area represents the amount of predictability between Vanguard Value time series from 20th of June 2024 to 18th of September 2024 and 18th of September 2024 to 17th of December 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 Vanguard Value Index price movement. The serial correlation of 0.68 indicates that around 68.0% of current Vanguard Value price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.68 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 7.0 |
Vanguard Value Index lagged returns against current returns
Autocorrelation, which is Vanguard Value 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 Value's etf expected returns. We can calculate the autocorrelation of Vanguard Value returns to help us make a trade decision. For example, suppose you find that Vanguard Value 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 Value 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 Value etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Value etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vanguard Value etf over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Value Lagged Returns
When evaluating Vanguard Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Value etf have on its future price. Vanguard Value 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 Value autocorrelation shows the relationship between Vanguard Value etf current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Value Index.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Vanguard Value Correlation, Vanguard Value Volatility and Vanguard Value Alpha and Beta module to complement your research on Vanguard Value. 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.
Vanguard Value 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.