Avantis Emerging Markets Etf Market Value
| AVES Etf | USD 48.95 0.21 0.43% |
| Symbol | Avantis |
The market value of Avantis Emerging Markets is measured differently than its book value, which is the value of Avantis that is recorded on the company's balance sheet. Investors also form their own opinion of Avantis Emerging's value that differs from its market value or its book value, called intrinsic value, which is Avantis Emerging'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 Avantis Emerging's market value can be influenced by many factors that don't directly affect Avantis Emerging'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 Avantis Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if Avantis Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Avantis Emerging'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.
Avantis 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 Avantis Emerging'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 Avantis Emerging.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Avantis Emerging on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Avantis Emerging Markets or generate 0.0% return on investment in Avantis Emerging over 30 days. Avantis Emerging is related to or competes with Invesco PureBeta, Morningstar Unconstrained, High-yield Municipal, Thrivent High, Via Renewables, T Rowe, and Jpmorgan Smartretirement*. The fund invests primarily in a diverse group of companies related to emerging markets across market sectors, industry g... More
Avantis 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 Avantis Emerging'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 Avantis Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.18 | |||
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 6.52 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 1.9 |
Avantis Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Avantis Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Avantis Emerging's standard deviation. In reality, there are many statistical measures that can use Avantis Emerging historical prices to predict the future Avantis Emerging's volatility.| Risk Adjusted Performance | 0.0062 | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Avantis 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.
Avantis Emerging Markets Backtested Returns
Avantis Emerging Markets secures Sharpe Ratio (or Efficiency) of -0.0243, which signifies that the etf had a -0.0243% return per unit of standard deviation over the last 3 months. Avantis Emerging Markets exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Avantis Emerging's risk adjusted performance of 0.0062, and Mean Deviation of 0.8557 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.43, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Avantis Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Avantis Emerging is expected to be smaller as well.
Auto-correlation | 0.39 |
Below average predictability
Avantis Emerging Markets has below average predictability. Overlapping area represents the amount of predictability between Avantis Emerging time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 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 Avantis Emerging Markets price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Avantis Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
Avantis Emerging Markets lagged returns against current returns
Autocorrelation, which is Avantis Emerging 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 Avantis Emerging's etf expected returns. We can calculate the autocorrelation of Avantis Emerging returns to help us make a trade decision. For example, suppose you find that Avantis Emerging 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 |
Avantis 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 Avantis Emerging etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Avantis Emerging etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Avantis Emerging etf over time.
Current vs Lagged Prices |
| Timeline |
Avantis Emerging Lagged Returns
When evaluating Avantis Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Avantis Emerging etf have on its future price. Avantis 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, Avantis Emerging autocorrelation shows the relationship between Avantis Emerging etf current value and its past values and can show if there is a momentum factor associated with investing in Avantis Emerging Markets.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Avantis Emerging Correlation, Avantis Emerging Volatility and Avantis Emerging Alpha and Beta module to complement your research on Avantis Emerging. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Avantis Emerging 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.