Aam Low Duration Etf Market Value
PFLD Etf | USD 20.62 0.09 0.43% |
Symbol | AAM |
The market value of AAM Low Duration 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 Low's value that differs from its market value or its book value, called intrinsic value, which is AAM Low'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 Low's market value can be influenced by many factors that don't directly affect AAM Low'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 Low's value and its price as these two are different measures arrived at by different means. Investors typically determine if AAM Low is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AAM Low'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 Low '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 Low'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 Low.
08/05/2024 |
| 02/01/2025 |
If you would invest 0.00 in AAM Low on August 5, 2024 and sell it all today you would earn a total of 0.00 from holding AAM Low Duration or generate 0.0% return on investment in AAM Low over 180 days. AAM Low is related to or competes with Global X, ETFis Series, Innovator, and Principal Spectrum. The index measures the performance of exchange-listed, U.S More
AAM Low 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 Low'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 Low Duration upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.31) | |||
Maximum Drawdown | 1.81 | |||
Value At Risk | (0.44) | |||
Potential Upside | 0.5834 |
AAM Low Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AAM Low's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AAM Low's standard deviation. In reality, there are many statistical measures that can use AAM Low historical prices to predict the future AAM Low's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.06) | |||
Treynor Ratio | (0.11) |
AAM Low Duration Backtested Returns
AAM Low Duration secures Sharpe Ratio (or Efficiency) of -0.0482, which signifies that the etf had a -0.0482 % return per unit of return volatility over the last 3 months. AAM Low Duration exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AAM Low's Variance of 0.1243, mean deviation of 0.2531, and Standard Deviation of 0.3526 to double-check the risk estimate we provide. The entity shows a Beta (market volatility) of 0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, AAM Low's returns are expected to increase less than the market. However, during the bear market, the loss of holding AAM Low is expected to be smaller as well.
Auto-correlation | -0.62 |
Very good reverse predictability
AAM Low Duration has very good reverse predictability. Overlapping area represents the amount of predictability between AAM Low time series from 5th of August 2024 to 3rd of November 2024 and 3rd of November 2024 to 1st of February 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 AAM Low Duration price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current AAM Low price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.62 | |
Spearman Rank Test | -0.42 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
AAM Low Duration lagged returns against current returns
Autocorrelation, which is AAM Low 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 Low's etf expected returns. We can calculate the autocorrelation of AAM Low returns to help us make a trade decision. For example, suppose you find that AAM Low 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 Low 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 Low etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AAM Low etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AAM Low etf over time.
Current vs Lagged Prices |
Timeline |
AAM Low Lagged Returns
When evaluating AAM Low's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AAM Low etf have on its future price. AAM Low 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 Low autocorrelation shows the relationship between AAM Low etf current value and its past values and can show if there is a momentum factor associated with investing in AAM Low Duration.
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 AAM Low Duration is a strong investment it is important to analyze AAM Low'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 Low's future performance. For an informed investment choice regarding AAM Etf, refer to the following important reports:Check out AAM Low Correlation, AAM Low Volatility and AAM Low Alpha and Beta module to complement your research on AAM Low. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
AAM Low 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.