Vanguard Institutional Index Fund Market Value
| VINIX Fund | USD 409.00 3.59 0.87% |
| Symbol | Vanguard |
Vanguard Institutional '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 Institutional's mutual fund 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 Institutional.
| 06/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in Vanguard Institutional on June 28, 2023 and sell it all today you would earn a total of 0.00 from holding Vanguard Institutional Index or generate 0.0% return on investment in Vanguard Institutional over 300 days. Vanguard Institutional is related to or competes with Vanguard Mid-cap, Vanguard Small-cap, Vanguard Total, and Vanguard Total. The fund employs an indexing investment approach designed to track the performance of the SP 500 Index, a widely recogni... More
Vanguard Institutional 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 Institutional's mutual fund 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 Institutional Index upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7218 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 3.56 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.24 |
Vanguard Institutional Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Institutional's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Institutional's standard deviation. In reality, there are many statistical measures that can use Vanguard Institutional historical prices to predict the future Vanguard Institutional's volatility.| Risk Adjusted Performance | 0.0661 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0669 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vanguard Institutional'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 Institutional Backtested Returns
We consider Vanguard Institutional very steady. Vanguard Institutional owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0536, which indicates the fund had a 0.0536% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Vanguard Institutional Index, which you can use to evaluate the volatility of the fund. Please validate Vanguard Institutional's Risk Adjusted Performance of 0.0661, semi deviation of 0.6259, and Coefficient Of Variation of 953.72 to confirm if the risk estimate we provide is consistent with the expected return of 0.0408%. The entity has a beta of 1.04, which indicates a somewhat significant risk relative to the market. Vanguard Institutional returns are very sensitive to returns on the market. As the market goes up or down, Vanguard Institutional is expected to follow.
Auto-correlation | -0.64 |
Very good reverse predictability
Vanguard Institutional Index has very good reverse predictability. Overlapping area represents the amount of predictability between Vanguard Institutional time series from 28th of June 2023 to 25th of November 2023 and 25th of November 2023 to 23rd of April 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 Institutional price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current Vanguard Institutional price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 323.6 |
Vanguard Institutional lagged returns against current returns
Autocorrelation, which is Vanguard Institutional mutual fund'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 Institutional's mutual fund expected returns. We can calculate the autocorrelation of Vanguard Institutional returns to help us make a trade decision. For example, suppose you find that Vanguard Institutional has exhibited high autocorrelation historically, and you observe that the mutual fund 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 Institutional 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 Institutional mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Institutional mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vanguard Institutional mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Institutional Lagged Returns
When evaluating Vanguard Institutional's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Institutional mutual fund have on its future price. Vanguard Institutional 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 Institutional autocorrelation shows the relationship between Vanguard Institutional mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Institutional Index.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Vanguard Institutional Correlation, Vanguard Institutional Volatility and Vanguard Institutional Alpha and Beta module to complement your research on Vanguard Institutional. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Vanguard Institutional technical mutual fund 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, fund market cycles, or different charting patterns.