Invesco Sp Smallcap Etf Market Value
XSVM Etf | USD 59.54 0.99 1.69% |
Symbol | Invesco |
The market value of Invesco SP SmallCap 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 SP's value that differs from its market value or its book value, called intrinsic value, which is Invesco SP'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 SP's market value can be influenced by many factors that don't directly affect Invesco SP'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 SP's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco SP is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco SP'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 SP '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 SP'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 SP.
12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in Invesco SP on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding Invesco SP SmallCap or generate 0.0% return on investment in Invesco SP over 720 days. Invesco SP is related to or competes with Invesco SP, Invesco SP, Invesco SP, and Pacer Small. The fund generally will invest at least 90 percent of its total assets in securities that comprise the underlying index More
Invesco SP 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 SP'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 SP SmallCap upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.04 | |||
Information Ratio | 0.006 | |||
Maximum Drawdown | 9.73 | |||
Value At Risk | (1.65) | |||
Potential Upside | 2.07 |
Invesco SP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco SP's standard deviation. In reality, there are many statistical measures that can use Invesco SP historical prices to predict the future Invesco SP's volatility.Risk Adjusted Performance | 0.0627 | |||
Jensen Alpha | (0.06) | |||
Total Risk Alpha | (0.1) | |||
Sortino Ratio | 0.0091 | |||
Treynor Ratio | 0.0636 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco SP'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 SP SmallCap Backtested Returns
As of now, Invesco Etf is very steady. Invesco SP SmallCap holds Efficiency (Sharpe) Ratio of 0.0688, which attests that the entity had a 0.0688% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Invesco SP SmallCap, which you can use to evaluate the volatility of the entity. Please check out Invesco SP's Market Risk Adjusted Performance of 0.0736, risk adjusted performance of 0.0627, and Downside Deviation of 1.04 to validate if the risk estimate we provide is consistent with the expected return of 0.11%. The etf retains a Market Volatility (i.e., Beta) of 1.71, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Invesco SP will likely underperform.
Auto-correlation | 0.04 |
Virtually no predictability
Invesco SP SmallCap has virtually no predictability. Overlapping area represents the amount of predictability between Invesco SP time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd 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 SP SmallCap price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Invesco SP price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.04 | |
Spearman Rank Test | 0.11 | |
Residual Average | 0.0 | |
Price Variance | 4.17 |
Invesco SP SmallCap lagged returns against current returns
Autocorrelation, which is Invesco SP 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 SP's etf expected returns. We can calculate the autocorrelation of Invesco SP returns to help us make a trade decision. For example, suppose you find that Invesco SP 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 SP 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 SP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco SP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco SP etf over time.
Current vs Lagged Prices |
Timeline |
Invesco SP Lagged Returns
When evaluating Invesco SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco SP etf have on its future price. Invesco SP 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 SP autocorrelation shows the relationship between Invesco SP etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco SP SmallCap.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Invesco SP Correlation, Invesco SP Volatility and Invesco SP Alpha and Beta module to complement your research on Invesco SP. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Invesco SP 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.