American Century Etf Market Value
| QPFF Etf | USD 37.00 0.13 0.35% |
| Symbol | American |
The market value of American Century ETF is measured differently than its book value, which is the value of American that is recorded on the company's balance sheet. Investors also form their own opinion of American Century's value that differs from its market value or its book value, called intrinsic value, which is American Century'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 American Century's market value can be influenced by many factors that don't directly affect American Century'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 American Century's value and its price as these two are different measures arrived at by different means. Investors typically determine if American Century is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, American Century'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.
American Century '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 American Century'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 American Century.
| 11/14/2024 |
| 12/14/2024 |
If you would invest 0.00 in American Century on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding American Century ETF or generate 0.0% return on investment in American Century over 30 days. American Century is related to or competes with First Trust, First Trust, and SPDR ICE. Under normal market conditions, the portfolio managers will invest at least 80 percent of the funds net assets, plus any... More
American Century 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 American Century'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 American Century ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.28) | |||
| Maximum Drawdown | 1.61 | |||
| Value At Risk | (0.64) | |||
| Potential Upside | 0.721 |
American Century Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for American Century's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as American Century's standard deviation. In reality, there are many statistical measures that can use American Century historical prices to predict the future American Century's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | (0.08) |
American Century ETF Backtested Returns
American Century ETF secures Sharpe Ratio (or Efficiency) of -0.0454, which signifies that the etf had a -0.0454% return per unit of standard deviation over the last 3 months. American Century ETF exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm American Century's risk adjusted performance of (0.02), and Mean Deviation of 0.2722 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.16, which signifies not very significant fluctuations relative to the market. As returns on the market increase, American Century's returns are expected to increase less than the market. However, during the bear market, the loss of holding American Century is expected to be smaller as well.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
American Century ETF has almost perfect reverse predictability. Overlapping area represents the amount of predictability between American Century time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 American Century ETF price movement. The serial correlation of -0.72 indicates that around 72.0% of current American Century price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
American Century ETF lagged returns against current returns
Autocorrelation, which is American Century 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 American Century's etf expected returns. We can calculate the autocorrelation of American Century returns to help us make a trade decision. For example, suppose you find that American Century 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 |
American Century 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 American Century etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if American Century etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in American Century etf over time.
Current vs Lagged Prices |
| Timeline |
American Century Lagged Returns
When evaluating American Century's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of American Century etf have on its future price. American Century 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, American Century autocorrelation shows the relationship between American Century etf current value and its past values and can show if there is a momentum factor associated with investing in American Century ETF.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether American Century ETF is a strong investment it is important to analyze American Century'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 American Century's future performance. For an informed investment choice regarding American Etf, refer to the following important reports:Check out American Century Correlation, American Century Volatility and American Century Alpha and Beta module to complement your research on American Century. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
American Century 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.