Vanguard Energy Index Fund Market Value
| VENAX Fund | USD 66.89 0.08 0.12% |
| Symbol | Vanguard |
Vanguard Energy '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 Energy'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 Energy.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Vanguard Energy on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Vanguard Energy Index or generate 0.0% return on investment in Vanguard Energy over 30 days. Vanguard Energy is related to or competes with Vanguard Energy, Fidelity Select, Fidelity Advisor, Fidelity Advisor, Fidelity Advisor, and Invesco Energy. The fund employs an indexing investment approach designed to track the performance of the MSCI US Investable Market Inde... More
Vanguard Energy 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 Energy'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 Energy Index upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8289 | |||
| Information Ratio | 0.2096 | |||
| Maximum Drawdown | 4.32 | |||
| Value At Risk | (1.09) | |||
| Potential Upside | 1.53 |
Vanguard Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Energy's standard deviation. In reality, there are many statistical measures that can use Vanguard Energy historical prices to predict the future Vanguard Energy's volatility.| Risk Adjusted Performance | 0.2003 | |||
| Jensen Alpha | 0.2151 | |||
| Total Risk Alpha | 0.1504 | |||
| Sortino Ratio | 0.2259 | |||
| Treynor Ratio | 0.4047 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vanguard Energy'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 Energy Index Backtested Returns
Vanguard Energy appears to be very steady, given 3 months investment horizon. Vanguard Energy Index owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.27, which indicates the fund had a 0.27% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Vanguard Energy Index, which you can use to evaluate the volatility of the fund. Please review Vanguard Energy's Semi Deviation of 0.4915, coefficient of variation of 316.14, and Risk Adjusted Performance of 0.2003 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.67, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Vanguard Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vanguard Energy is expected to be smaller as well.
Auto-correlation | -0.83 |
Excellent reverse predictability
Vanguard Energy Index has excellent reverse predictability. Overlapping area represents the amount of predictability between Vanguard Energy time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Energy Index price movement. The serial correlation of -0.83 indicates that around 83.0% of current Vanguard Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.83 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.91 |
Vanguard Energy Index lagged returns against current returns
Autocorrelation, which is Vanguard Energy 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 Energy's mutual fund expected returns. We can calculate the autocorrelation of Vanguard Energy returns to help us make a trade decision. For example, suppose you find that Vanguard Energy 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 Energy 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 Energy mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Energy 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 Energy mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Energy Lagged Returns
When evaluating Vanguard Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Energy mutual fund have on its future price. Vanguard Energy 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 Energy autocorrelation shows the relationship between Vanguard Energy mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Energy Index.
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 Energy 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 Energy's short interest history, or implied volatility extrapolated from Vanguard Energy options trading.
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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 Energy Correlation, Vanguard Energy Volatility and Vanguard Energy Alpha and Beta module to complement your research on Vanguard Energy. Note that the Vanguard Energy Index information on this page should be used as a complementary analysis to other Vanguard Energy'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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Vanguard Energy 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.