Invesco Qqq Income Etf Market Value
| QQA Etf | 46.85 0.10 0.21% |
| Symbol | Invesco |
The market value of Invesco QQQ Income is measured differently than its book value, which is the value of Invesco that is recorded on the company's balance sheet. Investors also form their own opinion of Invesco QQQ's value that differs from its market value or its book value, called intrinsic value, which is Invesco QQQ'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 Invesco QQQ's market value can be influenced by many factors that don't directly affect Invesco QQQ'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 Invesco QQQ's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco QQQ is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco QQQ'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.
Invesco QQQ '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 Invesco QQQ'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 Invesco QQQ.
| 12/21/2024 |
| 03/21/2025 |
If you would invest 0.00 in Invesco QQQ on December 21, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco QQQ Income or generate 0.0% return on investment in Invesco QQQ over 90 days. Invesco QQQ is related to or competes with FT Vest, Northern Lights, Dimensional International, JPMorgan Fundamental, Matthews China, Dimensional ETF, and First Trust. Invesco QQQ is entity of United States. It is traded as Etf on NASDAQ exchange. More
Invesco QQQ 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 Invesco QQQ'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 Invesco QQQ Income upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 6.42 | |||
| Value At Risk | (2.58) | |||
| Potential Upside | 1.43 |
Invesco QQQ Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco QQQ's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco QQQ's standard deviation. In reality, there are many statistical measures that can use Invesco QQQ historical prices to predict the future Invesco QQQ's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.01) | |||
| Treynor Ratio | (0.13) |
Invesco QQQ Income Backtested Returns
Invesco QQQ Income holds Efficiency (Sharpe) Ratio of -0.0862, which attests that the entity had a -0.0862 % return per unit of risk over the last 3 months. Invesco QQQ Income exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Invesco QQQ's Market Risk Adjusted Performance of (0.12), risk adjusted performance of (0.07), and Standard Deviation of 1.25 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.86, which attests to possible diversification benefits within a given portfolio. Invesco QQQ returns are very sensitive to returns on the market. As the market goes up or down, Invesco QQQ is expected to follow.
Auto-correlation | -0.37 |
Poor reverse predictability
Invesco QQQ Income has poor reverse predictability. Overlapping area represents the amount of predictability between Invesco QQQ time series from 21st of December 2024 to 4th of February 2025 and 4th of February 2025 to 21st of March 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 Invesco QQQ Income price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Invesco QQQ price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 3.48 |
Invesco QQQ Income lagged returns against current returns
Autocorrelation, which is Invesco QQQ 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 Invesco QQQ's etf expected returns. We can calculate the autocorrelation of Invesco QQQ returns to help us make a trade decision. For example, suppose you find that Invesco QQQ 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 |
Invesco QQQ 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 Invesco QQQ etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco QQQ etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco QQQ etf over time.
Current vs Lagged Prices |
| Timeline |
Invesco QQQ Lagged Returns
When evaluating Invesco QQQ's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco QQQ etf have on its future price. Invesco QQQ 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, Invesco QQQ autocorrelation shows the relationship between Invesco QQQ etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco QQQ Income.
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 Invesco QQQ Income offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Invesco QQQ's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Invesco Qqq Income Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Invesco Qqq Income Etf:Check out Invesco QQQ Correlation, Invesco QQQ Volatility and Invesco QQQ Alpha and Beta module to complement your research on Invesco QQQ. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Invesco QQQ 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.