Invesco Qqq Trust Etf Market Value

QQQ Etf  USD 425.07  6.25  1.49%   
Invesco QQQ's market value is the price at which a share of Invesco QQQ trades on a public exchange. It measures the collective expectations of Invesco QQQ Trust investors about its performance. Invesco QQQ is selling at 425.07 as of the 24th of April 2024; that is 1.49 percent increase since the beginning of the trading day. The etf's last reported lowest price was 418.87.
With this module, you can estimate the performance of a buy and hold strategy of Invesco QQQ Trust and determine expected loss or profit from investing in Invesco QQQ over a given investment horizon. Check out Invesco QQQ Correlation, Invesco QQQ Volatility and Invesco QQQ Alpha and Beta module to complement your research on Invesco QQQ.
Symbol

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.
0.00
06/04/2022
No Change 0.00  0.0 
In 1 year 10 months and 22 days
04/24/2024
0.00
If you would invest  0.00  in Invesco QQQ on June 4, 2022 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 690 days. Invesco QQQ is related to or competes with SPDR SP, Vanguard, NVIDIA, SPDR Dow, and McDonalds. 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
424.03425.07426.11
Details
Intrinsic
Valuation
LowRealHigh
416.84417.88467.58
Details
Naive
Forecast
LowNextHigh
414.41415.45416.49
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
417.68436.38455.07
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Invesco QQQ. Your research has to be compared to or analyzed against Invesco QQQ's peers to derive any actionable benefits. When done correctly, Invesco QQQ's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Invesco QQQ Trust.

Invesco QQQ Trust Backtested Returns

We consider Invesco QQQ very steady. Invesco QQQ Trust holds Efficiency (Sharpe) Ratio of 0.0025, which attests that the entity had a 0.0025% return per unit of risk over the last 3 months. We have found thirty 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, market risk adjusted performance of (0.09), and Risk Adjusted Performance of 0.0056 to validate if the risk estimate we provide is consistent with the expected return of 0.0027%. The etf retains a Market Volatility (i.e., Beta) of 0.0729, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Invesco QQQ's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco QQQ is expected to be smaller as well.

Auto-correlation

    
  0.48  

Average predictability

Invesco QQQ Trust has average predictability. Overlapping area represents the amount of predictability between Invesco QQQ time series from 4th of June 2022 to 15th of May 2023 and 15th of May 2023 to 24th 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 0.48 indicates that about 48.0% of current Invesco QQQ price fluctuation can be explain by its past prices.
Correlation Coefficient0.48
Spearman Rank Test0.28
Residual Average0.0
Price Variance1084.87

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  

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When determining whether Invesco QQQ Trust is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Invesco Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Invesco Qqq Trust Etf. Highlighted below are key reports to facilitate an investment decision about Invesco Qqq Trust 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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.
A focus of Invesco QQQ technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Invesco QQQ trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...