Aam Sp 500 Etf Market Value
| SPDV Etf | USD 29.40 0.28 0.94% |
| Symbol | AAM |
The market value of AAM SP 500 is measured differently than its book value, which is the value of AAM that is recorded on the company's balance sheet. Investors also form their own opinion of AAM SP's value that differs from its market value or its book value, called intrinsic value, which is AAM SP'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 AAM SP's market value can be influenced by many factors that don't directly affect AAM SP'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 AAM SP's value and its price as these two are different measures arrived at by different means. Investors typically determine if AAM SP is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AAM SP'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.
AAM SP '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 AAM SP'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 AAM SP.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in AAM SP on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding AAM SP 500 or generate 0.0% return on investment in AAM SP over 30 days. AAM SP is related to or competes with SPDR Portfolio. The index is a rules-based, equal-weighted index that is designed to provide exposure to the constituents of the SP 500 ... More
AAM SP 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 AAM SP'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 AAM SP 500 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9628 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 3.76 | |||
| Value At Risk | (1.71) | |||
| Potential Upside | 1.25 |
AAM SP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AAM SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AAM SP's standard deviation. In reality, there are many statistical measures that can use AAM SP historical prices to predict the future AAM SP's volatility.| Risk Adjusted Performance | 0.0165 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0078 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AAM SP'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.
AAM SP 500 Backtested Returns
We consider AAM SP very steady. AAM SP 500 secures Sharpe Ratio (or Efficiency) of 0.0529, which signifies that the etf had a 0.0529% return per unit of return volatility over the last 3 months. We have found thirty technical indicators for AAM SP 500, which you can use to evaluate the volatility of the entity. Please confirm AAM SP's Downside Deviation of 0.9628, mean deviation of 0.594, and Coefficient Of Variation of 4383.26 to double-check if the risk estimate we provide is consistent with the expected return of 0.0419%. The entity shows a Beta (market volatility) of 1.04, which signifies a somewhat significant risk relative to the market. AAM SP returns are very sensitive to returns on the market. As the market goes up or down, AAM SP is expected to follow.
Auto-correlation | -0.64 |
Very good reverse predictability
AAM SP 500 has very good reverse predictability. Overlapping area represents the amount of predictability between AAM SP time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 AAM SP 500 price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current AAM SP price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
AAM SP 500 lagged returns against current returns
Autocorrelation, which is AAM SP 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 AAM SP's etf expected returns. We can calculate the autocorrelation of AAM SP returns to help us make a trade decision. For example, suppose you find that AAM SP 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 |
AAM SP 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 AAM SP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AAM SP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AAM SP etf over time.
Current vs Lagged Prices |
| Timeline |
AAM SP Lagged Returns
When evaluating AAM SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AAM SP etf have on its future price. AAM SP 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, AAM SP autocorrelation shows the relationship between AAM SP etf current value and its past values and can show if there is a momentum factor associated with investing in AAM SP 500.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether AAM SP 500 is a strong investment it is important to analyze AAM SP'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 AAM SP's future performance. For an informed investment choice regarding AAM Etf, refer to the following important reports:Check out AAM SP Correlation, AAM SP Volatility and AAM SP Alpha and Beta module to complement your research on AAM SP. Note that the AAM SP 500 information on this page should be used as a complementary analysis to other AAM SP'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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
AAM SP 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.