Vanguard Primecap E Fund Market Value
| VPCCX Fund | USD 32.97 0.15 0.45% |
| Symbol | Vanguard |
Vanguard Primecap '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 Primecap'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 Primecap.
| 05/30/2022 |
| 04/19/2024 |
If you would invest 0.00 in Vanguard Primecap on May 30, 2022 and sell it all today you would earn a total of 0.00 from holding Vanguard Primecap E or generate 0.0% return on investment in Vanguard Primecap over 690 days. Vanguard Primecap is related to or competes with Vanguard Selected, Vanguard Capital, Vanguard Capital, Vanguard Dividend, and Vanguard Global. The fund invests in stocks that its advisor believes offer a good balance between reasonable valuations and attractive g... More
Vanguard Primecap 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 Primecap'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 Primecap E upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7588 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.36 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.22 |
Vanguard Primecap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Primecap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Primecap's standard deviation. In reality, there are many statistical measures that can use Vanguard Primecap historical prices to predict the future Vanguard Primecap's volatility.| Risk Adjusted Performance | 0.0427 | |||
| Jensen Alpha | 0.0382 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (1.57) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vanguard Primecap'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 Primecap Backtested Returns
We consider Vanguard Primecap very steady. Vanguard Primecap owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0672, which indicates the fund had a 0.0672% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Vanguard Primecap E, which you can use to evaluate the volatility of the fund. Please validate Vanguard Primecap's Risk Adjusted Performance of 0.0427, coefficient of variation of 1487.47, and Semi Deviation of 0.6972 to confirm if the risk estimate we provide is consistent with the expected return of 0.0468%. The entity has a beta of -0.0234, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Vanguard Primecap are expected to decrease at a much lower rate. During the bear market, Vanguard Primecap is likely to outperform the market.
Auto-correlation | 0.48 |
Average predictability
Vanguard Primecap E has average predictability. Overlapping area represents the amount of predictability between Vanguard Primecap time series from 30th of May 2022 to 10th of May 2023 and 10th of May 2023 to 19th 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 Primecap price movement. The serial correlation of 0.48 indicates that about 48.0% of current Vanguard Primecap price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 4.71 |
Vanguard Primecap lagged returns against current returns
Autocorrelation, which is Vanguard Primecap 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 Primecap's mutual fund expected returns. We can calculate the autocorrelation of Vanguard Primecap returns to help us make a trade decision. For example, suppose you find that Vanguard Primecap 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 Primecap 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 Primecap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Primecap 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 Primecap mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Primecap Lagged Returns
When evaluating Vanguard Primecap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Primecap mutual fund have on its future price. Vanguard Primecap 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 Primecap autocorrelation shows the relationship between Vanguard Primecap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Primecap E.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Vanguard Primecap in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Vanguard Primecap's short interest history, or implied volatility extrapolated from Vanguard Primecap options trading.
Also Currently Popular
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 Primecap Correlation, Vanguard Primecap Volatility and Vanguard Primecap Alpha and Beta module to complement your research on Vanguard Primecap. Note that the Vanguard Primecap information on this page should be used as a complementary analysis to other Vanguard Primecap's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
Vanguard Primecap 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.