Invesco Exchange Traded Self Indexed Etf Market Value

BSJU Etf  USD 25.66  0.04  0.16%   
Invesco Exchange's market value is the price at which a share of Invesco Exchange trades on a public exchange. It measures the collective expectations of Invesco Exchange Traded Self Indexed investors about its performance. Invesco Exchange is selling for under 25.66 as of the 25th of December 2024; that is 0.16 percent increase since the beginning of the trading day. The etf's last reported lowest price was 25.6.
With this module, you can estimate the performance of a buy and hold strategy of Invesco Exchange Traded Self Indexed and determine expected loss or profit from investing in Invesco Exchange over a given investment horizon. Check out Invesco Exchange Correlation, Invesco Exchange Volatility and Invesco Exchange Alpha and Beta module to complement your research on Invesco Exchange.
Symbol

The market value of Invesco Exchange Traded 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 Exchange's value that differs from its market value or its book value, called intrinsic value, which is Invesco Exchange'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 Exchange's market value can be influenced by many factors that don't directly affect Invesco Exchange'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 Exchange's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco Exchange is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco Exchange'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 Exchange '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 Exchange'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 Exchange.
0.00
01/05/2023
No Change 0.00  0.0 
In 1 year 11 months and 22 days
12/25/2024
0.00
If you would invest  0.00  in Invesco Exchange on January 5, 2023 and sell it all today you would earn a total of 0.00 from holding Invesco Exchange Traded Self Indexed or generate 0.0% return on investment in Invesco Exchange over 720 days. Invesco Exchange is related to or competes with IShares IBoxx, IShares Broad, IShares 0, Xtrackers USD, and Xtrackers Low. The fund generally will invest at least 80 percent of its total assets in securities that comprise the index More

Invesco Exchange 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 Exchange'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 Exchange Traded Self Indexed upside and downside potential and time the market with a certain degree of confidence.

Invesco Exchange Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco Exchange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco Exchange's standard deviation. In reality, there are many statistical measures that can use Invesco Exchange historical prices to predict the future Invesco Exchange's volatility.
Hype
Prediction
LowEstimatedHigh
25.3725.6625.95
Details
Intrinsic
Valuation
LowRealHigh
25.4025.6925.98
Details

Invesco Exchange Traded Backtested Returns

Invesco Exchange Traded holds Efficiency (Sharpe) Ratio of -0.0403, which attests that the entity had a -0.0403% return per unit of risk over the last 3 months. Invesco Exchange Traded exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Invesco Exchange's Market Risk Adjusted Performance of (0.1), risk adjusted performance of (0.05), and Standard Deviation of 0.2866 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Invesco Exchange's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco Exchange is expected to be smaller as well.

Auto-correlation

    
  0.59  

Modest predictability

Invesco Exchange Traded Self Indexed has modest predictability. Overlapping area represents the amount of predictability between Invesco Exchange time series from 5th of January 2023 to 31st of December 2023 and 31st of December 2023 to 25th 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 Invesco Exchange Traded price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Invesco Exchange price fluctuation can be explain by its past prices.
Correlation Coefficient0.59
Spearman Rank Test0.62
Residual Average0.0
Price Variance0.61

Invesco Exchange Traded lagged returns against current returns

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

Invesco Exchange Lagged Returns

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Invesco Exchange Traded 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 Exchange Traded Self Indexed Etf. Highlighted below are key reports to facilitate an investment decision about Invesco Exchange Traded Self Indexed Etf:
Check out Invesco Exchange Correlation, Invesco Exchange Volatility and Invesco Exchange Alpha and Beta module to complement your research on Invesco Exchange.
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 Exchange 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 Exchange technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Invesco Exchange 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...