Invesco Sp 500 Etf Market Value
RSPD Etf | 55.43 0.41 0.75% |
Symbol | Invesco |
The market value of Invesco SP 500 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.
11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Invesco SP on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Invesco SP 500 or generate 0.0% return on investment in Invesco SP over 30 days. Invesco SP is related to or competes with First Trust, Ultimus Managers, Horizon Kinetics, Harbor Health, American Beacon, First Trust, and Direxion Daily. Invesco SP is entity of United States. It is traded as Etf on NYSE ARCA exchange. 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 500 upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7551 | |||
Information Ratio | 0.0597 | |||
Maximum Drawdown | 3.36 | |||
Value At Risk | (1.05) | |||
Potential Upside | 1.52 |
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 | 0.1695 | |||
Jensen Alpha | 0.0682 | |||
Total Risk Alpha | 0.0357 | |||
Sortino Ratio | 0.0677 | |||
Treynor Ratio | 0.2063 |
Invesco SP 500 Backtested Returns
Invesco SP appears to be very steady, given 3 months investment horizon. Invesco SP 500 holds Efficiency (Sharpe) Ratio of 0.24, which attests that the entity had a 0.24% return per unit of risk over the last 3 months. We have found thirty technical indicators for Invesco SP 500, which you can use to evaluate the volatility of the entity. Please utilize Invesco SP's Market Risk Adjusted Performance of 0.2163, downside deviation of 0.7551, and Risk Adjusted Performance of 0.1695 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.87, which attests to possible diversification benefits within a given portfolio. Invesco SP returns are very sensitive to returns on the market. As the market goes up or down, Invesco SP is expected to follow.
Auto-correlation | 0.88 |
Very good predictability
Invesco SP 500 has very good predictability. Overlapping area represents the amount of predictability between Invesco SP time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 SP 500 price movement. The serial correlation of 0.88 indicates that approximately 88.0% of current Invesco SP price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.88 | |
Spearman Rank Test | 0.92 | |
Residual Average | 0.0 | |
Price Variance | 1.11 |
Invesco SP 500 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 500.
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 SP 500 is a strong investment it is important to analyze Invesco SP'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 SP's future performance. For an informed investment choice regarding Invesco Etf, refer to the following important reports:Check 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 Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
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.