Invesco Exchange Traded Self Indexed Etf Market Value

BSCW Etf  USD 20.47  0.08  0.39%   
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 20.47 as of the 28th of November 2024; that is 0.39 percent increase since the beginning of the trading day. The etf's lowest day price was 20.4.
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
10/29/2024
No Change 0.00  0.0 
In 31 days
11/28/2024
0.00
If you would invest  0.00  in Invesco Exchange on October 29, 2024 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 30 days. Invesco Exchange is related to or competes with Invesco BulletShares, Invesco Exchange, Invesco BulletShares, Invesco BulletShares, and Invesco BulletShares. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco Exchange'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
20.1320.4720.81
Details
Intrinsic
Valuation
LowRealHigh
20.1520.4920.83
Details

Invesco Exchange Traded Backtested Returns

Invesco Exchange Traded holds Efficiency (Sharpe) Ratio of -5.0E-4, which attests that the entity had a -5.0E-4% 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 Risk Adjusted Performance of (0.01), market risk adjusted performance of (0.16), and Standard Deviation of 0.3416 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0589, 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

    
  0.04  

Virtually no predictability

Invesco Exchange Traded Self Indexed has virtually no predictability. Overlapping area represents the amount of predictability between Invesco Exchange time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 0.04 indicates that only as little as 4.0% of current Invesco Exchange price fluctuation can be explain by its past prices.
Correlation Coefficient0.04
Spearman Rank Test0.07
Residual Average0.0
Price Variance0.01

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  

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 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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...