Invesco Dynamic Oil Etf Market Value

PXJ Etf  USD 31.48  0.16  0.51%   
Invesco Dynamic's market value is the price at which a share of Invesco Dynamic trades on a public exchange. It measures the collective expectations of Invesco Dynamic Oil investors about its performance. Invesco Dynamic is selling for 31.48 as of the 24th of April 2024. This is a -0.51 percent decrease since the beginning of the trading day. The etf's last reported lowest price was 31.24.
With this module, you can estimate the performance of a buy and hold strategy of Invesco Dynamic Oil and determine expected loss or profit from investing in Invesco Dynamic over a given investment horizon. Check out Invesco Dynamic Correlation, Invesco Dynamic Volatility and Invesco Dynamic Alpha and Beta module to complement your research on Invesco Dynamic.
Symbol

The market value of Invesco Dynamic Oil 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 Dynamic's value that differs from its market value or its book value, called intrinsic value, which is Invesco Dynamic'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 Dynamic's market value can be influenced by many factors that don't directly affect Invesco Dynamic'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 Dynamic's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco Dynamic is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco Dynamic'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 Dynamic '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 Dynamic'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 Dynamic.
0.00
03/25/2024
No Change 0.00  0.0 
In 31 days
04/24/2024
0.00
If you would invest  0.00  in Invesco Dynamic on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco Dynamic Oil or generate 0.0% return on investment in Invesco Dynamic over 30 days. Invesco Dynamic is related to or competes with Vanguard Financials, Vanguard Health, Vanguard Utilities, Vanguard Materials, and Vanguard Consumer. The fund generally will invest at least 90 percent of its total assets in securities that comprise the underlying index More

Invesco Dynamic 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 Dynamic'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 Dynamic Oil upside and downside potential and time the market with a certain degree of confidence.

Invesco Dynamic Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco Dynamic's standard deviation. In reality, there are many statistical measures that can use Invesco Dynamic historical prices to predict the future Invesco Dynamic'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 Dynamic'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
30.4431.6432.84
Details
Intrinsic
Valuation
LowRealHigh
30.1131.3132.51
Details
Naive
Forecast
LowNextHigh
29.2830.4831.69
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
30.5131.8733.23
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Invesco Dynamic. Your research has to be compared to or analyzed against Invesco Dynamic's peers to derive any actionable benefits. When done correctly, Invesco Dynamic'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 Dynamic Oil.

Invesco Dynamic Oil Backtested Returns

We consider Invesco Dynamic very steady. Invesco Dynamic Oil holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found thirty technical indicators for Invesco Dynamic Oil, which you can use to evaluate the volatility of the entity. Please check out Invesco Dynamic's Market Risk Adjusted Performance of 0.2275, risk adjusted performance of 0.1097, and Downside Deviation of 1.17 to validate if the risk estimate we provide is consistent with the expected return of 0.14%. The etf retains a Market Volatility (i.e., Beta) of 0.89, which attests to possible diversification benefits within a given portfolio. Invesco Dynamic returns are very sensitive to returns on the market. As the market goes up or down, Invesco Dynamic is expected to follow.

Auto-correlation

    
  -0.95  

Near perfect reversele predictability

Invesco Dynamic Oil has near perfect reversele predictability. Overlapping area represents the amount of predictability between Invesco Dynamic time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 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 Dynamic Oil price movement. The serial correlation of -0.95 indicates that approximately 95.0% of current Invesco Dynamic price fluctuation can be explain by its past prices.
Correlation Coefficient-0.95
Spearman Rank Test-0.6
Residual Average0.0
Price Variance0.36

Invesco Dynamic Oil lagged returns against current returns

Autocorrelation, which is Invesco Dynamic 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 Dynamic's etf expected returns. We can calculate the autocorrelation of Invesco Dynamic returns to help us make a trade decision. For example, suppose you find that Invesco Dynamic 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 Dynamic 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 Dynamic etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco Dynamic etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco Dynamic etf over time.
   Current vs Lagged Prices   
       Timeline  

Invesco Dynamic Lagged Returns

When evaluating Invesco Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco Dynamic etf have on its future price. Invesco Dynamic 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 Dynamic autocorrelation shows the relationship between Invesco Dynamic etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco Dynamic Oil.
   Regressed Prices   
       Timeline  

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When determining whether Invesco Dynamic Oil 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 Dynamic Oil Etf. Highlighted below are key reports to facilitate an investment decision about Invesco Dynamic Oil Etf:
Check out Invesco Dynamic Correlation, Invesco Dynamic Volatility and Invesco Dynamic Alpha and Beta module to complement your research on Invesco Dynamic.
You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Invesco Dynamic 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 Dynamic technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Invesco Dynamic 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...