Avantis All Equity Etf Market Value
AVGE Etf | USD 71.60 1.46 2.08% |
Symbol | Avantis |
The market value of Avantis All Equity 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 All's value that differs from its market value or its book value, called intrinsic value, which is Avantis All'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 All's market value can be influenced by many factors that don't directly affect Avantis All'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 All's value and its price as these two are different measures arrived at by different means. Investors typically determine if Avantis All is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Avantis All'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 All '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 All'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 All.
12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Avantis All on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Avantis All Equity or generate 0.0% return on investment in Avantis All over 90 days. Avantis All is related to or competes with Avantis Small, Avantis International, Avantis Equity, Avantis Emerging, and Avantis International. More
Avantis All 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 All'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 All Equity upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0358 | |||
Maximum Drawdown | 3.76 | |||
Value At Risk | (1.63) | |||
Potential Upside | 1.22 |
Avantis All Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Avantis All's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Avantis All's standard deviation. In reality, there are many statistical measures that can use Avantis All historical prices to predict the future Avantis All's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | 2.0E-4 | |||
Total Risk Alpha | 0.0385 | |||
Treynor Ratio | (0.11) |
Avantis All Equity Backtested Returns
Avantis All Equity secures Sharpe Ratio (or Efficiency) of -0.0723, which signifies that the etf had a -0.0723 % return per unit of standard deviation over the last 3 months. Avantis All Equity exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Avantis All's mean deviation of 0.6946, and Risk Adjusted Performance of (0.06) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.7, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Avantis All's returns are expected to increase less than the market. However, during the bear market, the loss of holding Avantis All is expected to be smaller as well.
Auto-correlation | -0.63 |
Very good reverse predictability
Avantis All Equity has very good reverse predictability. Overlapping area represents the amount of predictability between Avantis All time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. 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 All Equity price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current Avantis All price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.63 | |
Spearman Rank Test | -0.11 | |
Residual Average | 0.0 | |
Price Variance | 1.75 |
Avantis All Equity lagged returns against current returns
Autocorrelation, which is Avantis All 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 All's etf expected returns. We can calculate the autocorrelation of Avantis All returns to help us make a trade decision. For example, suppose you find that Avantis All 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 All 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 All etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Avantis All etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Avantis All etf over time.
Current vs Lagged Prices |
Timeline |
Avantis All Lagged Returns
When evaluating Avantis All's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Avantis All etf have on its future price. Avantis All 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 All autocorrelation shows the relationship between Avantis All etf current value and its past values and can show if there is a momentum factor associated with investing in Avantis All Equity.
Regressed Prices |
Timeline |
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.When determining whether Avantis All Equity is a strong investment it is important to analyze Avantis All's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Avantis All's future performance. For an informed investment choice regarding Avantis Etf, refer to the following important reports:Check out Avantis All Correlation, Avantis All Volatility and Avantis All Alpha and Beta module to complement your research on Avantis All. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Avantis All 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.