Invesco Dwa Emerging Etf Market Value
PIE Etf | USD 20.13 0.15 0.75% |
Symbol | Invesco |
The market value of Invesco DWA Emerging 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 DWA's value that differs from its market value or its book value, called intrinsic value, which is Invesco DWA'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 DWA's market value can be influenced by many factors that don't directly affect Invesco DWA'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 DWA's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco DWA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco DWA'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 DWA '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 DWA'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 DWA.
10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Invesco DWA on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco DWA Emerging or generate 0.0% return on investment in Invesco DWA over 30 days. Invesco DWA is related to or competes with Invesco DWA, Invesco DWA, Invesco FTSE, Invesco DWA, and Invesco DWA. The fund will invest at least 90 percent of its total assets in the securities that comprise the underlying index More
Invesco DWA 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 DWA'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 DWA Emerging upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.11) | |||
Maximum Drawdown | 5.43 | |||
Value At Risk | (2.30) | |||
Potential Upside | 2.22 |
Invesco DWA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco DWA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco DWA's standard deviation. In reality, there are many statistical measures that can use Invesco DWA historical prices to predict the future Invesco DWA's volatility.Risk Adjusted Performance | (0) | |||
Jensen Alpha | (0.11) | |||
Total Risk Alpha | (0.22) | |||
Treynor Ratio | (0.03) |
Invesco DWA Emerging Backtested Returns
Invesco DWA Emerging holds Efficiency (Sharpe) Ratio of -0.0044, which attests that the entity had a -0.0044% return per unit of risk over the last 3 months. Invesco DWA Emerging exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Invesco DWA's insignificant Risk Adjusted Performance, standard deviation of 1.29, and Market Risk Adjusted Performance of (0.02) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.76, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Invesco DWA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco DWA is expected to be smaller as well.
Auto-correlation | 0.16 |
Very weak predictability
Invesco DWA Emerging has very weak predictability. Overlapping area represents the amount of predictability between Invesco DWA time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 DWA Emerging price movement. The serial correlation of 0.16 indicates that over 16.0% of current Invesco DWA price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.16 | |
Spearman Rank Test | -0.54 | |
Residual Average | 0.0 | |
Price Variance | 0.04 |
Invesco DWA Emerging lagged returns against current returns
Autocorrelation, which is Invesco DWA 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 DWA's etf expected returns. We can calculate the autocorrelation of Invesco DWA returns to help us make a trade decision. For example, suppose you find that Invesco DWA 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 DWA 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 DWA etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco DWA etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco DWA etf over time.
Current vs Lagged Prices |
Timeline |
Invesco DWA Lagged Returns
When evaluating Invesco DWA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco DWA etf have on its future price. Invesco DWA 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 DWA autocorrelation shows the relationship between Invesco DWA etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco DWA Emerging.
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 DWA Emerging is a strong investment it is important to analyze Invesco DWA's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Invesco DWA's future performance. For an informed investment choice regarding Invesco Etf, refer to the following important reports:Check out Invesco DWA Correlation, Invesco DWA Volatility and Invesco DWA Alpha and Beta module to complement your research on Invesco DWA. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Invesco DWA 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.