Alpha Architect International Etf Market Value
| IMOM Etf | USD 28.11 0.42 1.47% |
| Symbol | Alpha |
The market value of Alpha Architect Inte is measured differently than its book value, which is the value of Alpha that is recorded on the company's balance sheet. Investors also form their own opinion of Alpha Architect's value that differs from its market value or its book value, called intrinsic value, which is Alpha Architect'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 Alpha Architect's market value can be influenced by many factors that don't directly affect Alpha Architect'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 Alpha Architect's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alpha Architect is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alpha Architect'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.
Alpha Architect '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 Alpha Architect'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 Alpha Architect.
| 06/20/2023 |
| 12/11/2024 |
If you would invest 0.00 in Alpha Architect on June 20, 2023 and sell it all today you would earn a total of 0.00 from holding Alpha Architect International or generate 0.0% return on investment in Alpha Architect over 540 days. Alpha Architect is related to or competes with IShares MSCI, IShares MSCI, IShares Currency, and IShares Edge. The Adviser employs a multi-step, quantitative, rules-based methodology to identify a portfolio of approximately 50 to 1... More
Alpha Architect 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 Alpha Architect'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 Alpha Architect International upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7972 | |||
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 3.96 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.4 |
Alpha Architect Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpha Architect's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpha Architect's standard deviation. In reality, there are many statistical measures that can use Alpha Architect historical prices to predict the future Alpha Architect's volatility.| Risk Adjusted Performance | 0.0249 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.12) | |||
| Treynor Ratio | 0.0385 |
Alpha Architect Inte Backtested Returns
Alpha Architect Inte secures Sharpe Ratio (or Efficiency) of -0.002, which signifies that the etf had a -0.002% return per unit of risk over the last 3 months. Alpha Architect International exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alpha Architect's Mean Deviation of 0.6756, risk adjusted performance of 0.0249, and Downside Deviation of 0.7972 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.45, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Alpha Architect's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alpha Architect is expected to be smaller as well.
Auto-correlation | 0.16 |
Very weak predictability
Alpha Architect International has very weak predictability. Overlapping area represents the amount of predictability between Alpha Architect time series from 20th of June 2023 to 16th of March 2024 and 16th of March 2024 to 11th of December 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 Alpha Architect Inte price movement. The serial correlation of 0.16 indicates that over 16.0% of current Alpha Architect price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.47 |
Alpha Architect Inte lagged returns against current returns
Autocorrelation, which is Alpha Architect 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 Alpha Architect's etf expected returns. We can calculate the autocorrelation of Alpha Architect returns to help us make a trade decision. For example, suppose you find that Alpha Architect 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 |
Alpha Architect 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 Alpha Architect etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpha Architect etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alpha Architect etf over time.
Current vs Lagged Prices |
| Timeline |
Alpha Architect Lagged Returns
When evaluating Alpha Architect's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpha Architect etf have on its future price. Alpha Architect 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, Alpha Architect autocorrelation shows the relationship between Alpha Architect etf current value and its past values and can show if there is a momentum factor associated with investing in Alpha Architect International.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Alpha Architect Correlation, Alpha Architect Volatility and Alpha Architect Alpha and Beta module to complement your research on Alpha Architect. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Alpha Architect 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.