Invesco Qqq Trust Etf Market Value
QQQ Etf | USD 426.51 0.00 0.00% |
Symbol | Invesco |
The market value of Invesco QQQ Trust 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.
05/01/2023 |
| 04/25/2024 |
If you would invest 0.00 in Invesco QQQ on May 1, 2023 and sell it all today you would earn a total of 0.00 from holding Invesco QQQ Trust or generate 0.0% return on investment in Invesco QQQ over 360 days. Invesco QQQ is related to or competes with IShares Small, Pacer Cash, GXO Logistics, and Amplify CWP. To maintain the correspondence between the composition and weights of the securities in the trust and the stocks in the ... 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 Trust upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.04 | |||
Information Ratio | (0.07) | |||
Maximum Drawdown | 5.0 | |||
Value At Risk | (1.65) | |||
Potential Upside | 1.52 |
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 | 0.0168 | |||
Jensen Alpha | (0.08) | |||
Total Risk Alpha | (0.13) | |||
Sortino Ratio | (0.07) | |||
Treynor Ratio | 0.0104 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco QQQ'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.
Invesco QQQ Trust Backtested Returns
We consider Invesco QQQ very steady. Invesco QQQ Trust holds Efficiency (Sharpe) Ratio of 0.0169, which attests that the entity had a 0.0169% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Invesco QQQ Trust, which you can use to evaluate the volatility of the entity. Please check out Invesco QQQ's Downside Deviation of 1.04, risk adjusted performance of 0.0168, and Market Risk Adjusted Performance of 0.0204 to validate if the risk estimate we provide is consistent with the expected return of 0.0178%. The etf retains a Market Volatility (i.e., Beta) of 1.07, which attests to a somewhat significant risk relative to the market. 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 | 0.73 |
Good predictability
Invesco QQQ Trust has good predictability. Overlapping area represents the amount of predictability between Invesco QQQ time series from 1st of May 2023 to 28th of October 2023 and 28th of October 2023 to 25th 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 Invesco QQQ Trust price movement. The serial correlation of 0.73 indicates that around 73.0% of current Invesco QQQ price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.73 | |
Spearman Rank Test | 0.47 | |
Residual Average | 0.0 | |
Price Variance | 613.86 |
Invesco QQQ Trust 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 Trust.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Invesco QQQ in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Invesco QQQ's short interest history, or implied volatility extrapolated from Invesco QQQ options trading.
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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.