Vanguard Emerging Markets Fund Market Value
| VEMRX Fund | USD 86.83 0.73 0.85% |
| Symbol | Vanguard |
Vanguard Emerging '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 Emerging'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 Emerging.
| 02/23/2024 |
| 04/23/2024 |
If you would invest 0.00 in Vanguard Emerging on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding Vanguard Emerging Markets or generate 0.0% return on investment in Vanguard Emerging over 60 days. Vanguard Emerging is related to or competes with Vanguard Materials, Vanguard Limited, Vanguard Limited, Vanguard Global, Vanguard Market, Vanguard Market, and Vanguard Multi-sector. The index measures the investment return of stocks issued by companies located in emerging market countries More
Vanguard Emerging 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 Emerging'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 Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7005 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.83 | |||
| Value At Risk | (1.01) | |||
| Potential Upside | 0.9775 |
Vanguard Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vanguard Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vanguard Emerging's standard deviation. In reality, there are many statistical measures that can use Vanguard Emerging historical prices to predict the future Vanguard Emerging's volatility.| Risk Adjusted Performance | 0.0707 | |||
| Jensen Alpha | 0.0164 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.1058 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Vanguard Emerging'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 Emerging Markets Backtested Returns
We consider Vanguard Emerging very steady. Vanguard Emerging Markets owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.083, which indicates the fund had a 0.083% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Vanguard Emerging Markets, which you can use to evaluate the volatility of the fund. Please validate Vanguard Emerging's Coefficient Of Variation of 878.97, risk adjusted performance of 0.0707, and Semi Deviation of 0.6147 to confirm if the risk estimate we provide is consistent with the expected return of 0.0529%. The entity has a beta of 0.62, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Vanguard Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vanguard Emerging is expected to be smaller as well.
Auto-correlation | -0.01 |
Very weak reverse predictability
Vanguard Emerging Markets has very weak reverse predictability. Overlapping area represents the amount of predictability between Vanguard Emerging time series from 23rd of February 2024 to 24th of March 2024 and 24th of March 2024 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 Emerging Markets price movement. The serial correlation of -0.01 indicates that just 1.0% of current Vanguard Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 1.32 |
Vanguard Emerging Markets lagged returns against current returns
Autocorrelation, which is Vanguard Emerging 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 Emerging's mutual fund expected returns. We can calculate the autocorrelation of Vanguard Emerging returns to help us make a trade decision. For example, suppose you find that Vanguard Emerging 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 Emerging 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 Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vanguard Emerging 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 Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Vanguard Emerging Lagged Returns
When evaluating Vanguard Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vanguard Emerging mutual fund have on its future price. Vanguard Emerging 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 Emerging autocorrelation shows the relationship between Vanguard Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Vanguard Emerging Markets.
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 Emerging 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 Emerging's short interest history, or implied volatility extrapolated from Vanguard Emerging 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 Emerging Correlation, Vanguard Emerging Volatility and Vanguard Emerging Alpha and Beta module to complement your research on Vanguard Emerging. 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 Emerging 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.