Invesco Dynamic Large Etf Market Value
| PWV Etf | USD 61.68 0.17 0.28% |
| Symbol | Invesco |
The market value of Invesco Dynamic Large 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.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Invesco Dynamic on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco Dynamic Large or generate 0.0% return on investment in Invesco Dynamic over 30 days. Invesco Dynamic is related to or competes with FT Vest, Northern Lights, Dimensional International, First Trust, EA Series, FT Cboe, and FT Cboe. 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 Large upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5731 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 4.54 | |||
| Value At Risk | (1.07) | |||
| Potential Upside | 1.33 |
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.| Risk Adjusted Performance | 0.114 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.1177 |
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.
Invesco Dynamic Large Backtested Returns
At this stage we consider Invesco Etf to be very steady. Invesco Dynamic Large holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Invesco Dynamic Large, which you can use to evaluate the volatility of the entity. Please check out Invesco Dynamic's Downside Deviation of 0.5731, market risk adjusted performance of 0.1277, and Risk Adjusted Performance of 0.114 to validate if the risk estimate we provide is consistent with the expected return of 0.1%. The etf retains a Market Volatility (i.e., Beta) of 0.91, 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 | 0.73 |
Good predictability
Invesco Dynamic Large has good predictability. Overlapping area represents the amount of predictability between Invesco Dynamic 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 Dynamic Large price movement. The serial correlation of 0.73 indicates that around 73.0% of current Invesco Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
Invesco Dynamic Large 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 Large.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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.