Aam Low Duration Etf Market Value
| PFLD Etf | USD 19.74 0.01 0.05% |
| 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.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in AAM Low on October 28, 2025 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 90 days. AAM Low is related to or competes with Sprott Gold, ETC 6, WisdomTree International, T Rowe, Columbia Multi, First Trust, and SGI Enhanced. 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.
| Downside Deviation | 0.1623 | |||
| Information Ratio | (0.38) | |||
| Maximum Drawdown | 0.7197 | |||
| Value At Risk | (0.26) | |||
| Potential Upside | 0.3577 |
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 | 0.0395 | |||
| Jensen Alpha | 0.0032 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | 0.132 |
AAM Low January 26, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0395 | |||
| Market Risk Adjusted Performance | 0.142 | |||
| Mean Deviation | 0.1295 | |||
| Semi Deviation | 0.016 | |||
| Downside Deviation | 0.1623 | |||
| Coefficient Of Variation | 1010.5 | |||
| Standard Deviation | 0.1702 | |||
| Variance | 0.029 | |||
| Information Ratio | (0.38) | |||
| Jensen Alpha | 0.0032 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | 0.132 | |||
| Maximum Drawdown | 0.7197 | |||
| Value At Risk | (0.26) | |||
| Potential Upside | 0.3577 | |||
| Downside Variance | 0.0263 | |||
| Semi Variance | 3.0E-4 | |||
| Expected Short fall | (0.18) | |||
| Skewness | 0.4425 | |||
| Kurtosis | 0.4572 |
AAM Low Duration Backtested Returns
At this point, AAM Low is very steady. AAM Low Duration secures Sharpe Ratio (or Efficiency) of 0.099, which signifies that the etf had a 0.099 % return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for AAM Low Duration, which you can use to evaluate the volatility of the entity. Please confirm AAM Low's Downside Deviation of 0.1623, mean deviation of 0.1295, and Coefficient Of Variation of 1010.5 to double-check if the risk estimate we provide is consistent with the expected return of 0.0168%. The entity shows a Beta (market volatility) of 0.0518, 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 | 0.04 |
Virtually no predictability
AAM Low Duration has virtually no predictability. Overlapping area represents the amount of predictability between AAM Low time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th of January 2026. 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 0.04 indicates that only as little as 4.0% of current AAM Low price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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.