Vanguard Short Term Inflation Protected Etf Market Value
| VTIP Etf | USD 48.95 0.02 0.04% |
| Symbol | Vanguard |
The market value of Vanguard Short Term 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 Short's value that differs from its market value or its book value, called intrinsic value, which is Vanguard Short'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 Short's market value can be influenced by many factors that don't directly affect Vanguard Short'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 Short's value and its price as these two are different measures arrived at by different means. Investors typically determine if Vanguard Short is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Vanguard Short'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 Short '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 Short'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 Short.
| 11/17/2024 |
| 12/17/2024 |
If you would invest 0.00 in Vanguard Short on November 17, 2024 and sell it all today you would earn a total of 0.00 from holding Vanguard Short Term Inflation Protected or generate 0.0% return on investment in Vanguard Short over 30 days. Vanguard Short is related to or competes with Vanguard Short, Vanguard Total, Vanguard Intermediate, Vanguard Short, and Vanguard Short. The index is a market-capitalization-weighted index that includes all inflation-protected public obligations issued by t... More
Vanguard Short 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 Short'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 Short Term Inflation Protected upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1192 | |||
| Information Ratio | (0.78) | |||
| Maximum Drawdown | 0.5511 | |||
| Value At Risk | (0.16) | |||
| Potential Upside | 0.1838 |
Vanguard Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Short's standard deviation. In reality, there are many statistical measures that can use Vanguard Short historical prices to predict the future Vanguard Short's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.69) | |||
| Treynor Ratio | (0.26) |
Vanguard Short Term Backtested Returns
Currently, Vanguard Short Term Inflation Protected is very steady. Vanguard Short Term owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0218, which indicates the etf had a 0.0218% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Vanguard Short Term Inflation Protected, which you can use to evaluate the volatility of the etf. Please validate Vanguard Short's Risk Adjusted Performance of (0.04), coefficient of variation of 3355.64, and Semi Deviation of 0.0855 to confirm if the risk estimate we provide is consistent with the expected return of 0.0023%. The entity has a beta of 0.0264, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Vanguard Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vanguard Short is expected to be smaller as well.
Auto-correlation | -0.06 |
Very weak reverse predictability
Vanguard Short Term Inflation Protected has very weak reverse predictability. Overlapping area represents the amount of predictability between Vanguard Short time series from 17th of November 2024 to 2nd of December 2024 and 2nd of December 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 Short Term price movement. The serial correlation of -0.06 indicates that barely 6.0% of current Vanguard Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Vanguard Short Term lagged returns against current returns
Autocorrelation, which is Vanguard Short 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 Short's etf expected returns. We can calculate the autocorrelation of Vanguard Short returns to help us make a trade decision. For example, suppose you find that Vanguard Short 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 Short 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 Short etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vanguard Short etf over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Short Lagged Returns
When evaluating Vanguard Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Short etf have on its future price. Vanguard Short 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 Short autocorrelation shows the relationship between Vanguard Short etf current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Short Term Inflation Protected.
Regressed Prices |
| Timeline |
Pair Trading with Vanguard Short
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Vanguard Short position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Vanguard Short will appreciate offsetting losses from the drop in the long position's value.Moving together with Vanguard Etf
| 0.89 | STIP | iShares 0 5 | PairCorr |
| 0.82 | TDTT | FlexShares iBoxx 3 | PairCorr |
| 0.7 | TIPX | SPDR Bloomberg 1 | PairCorr |
| 0.81 | STPZ | PIMCO 1 5 | PairCorr |
| 0.99 | PBTP | Invesco PureBeta 0 | PairCorr |
The ability to find closely correlated positions to Vanguard Short could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vanguard Short when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Vanguard Short - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Vanguard Short Term Inflation Protected to buy it.
The correlation of Vanguard Short is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Vanguard Short moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vanguard Short Term moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Vanguard Short can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Vanguard Short Correlation, Vanguard Short Volatility and Vanguard Short Alpha and Beta module to complement your research on Vanguard Short. You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Vanguard Short 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.