Invesco Variable Rate Etf Market Value
VRIG Etf | USD 25.12 0.01 0.04% |
Symbol | Invesco |
The market value of Invesco Variable Rate 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 Variable's value that differs from its market value or its book value, called intrinsic value, which is Invesco Variable'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 Variable's market value can be influenced by many factors that don't directly affect Invesco Variable'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 Variable's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco Variable is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco Variable'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 Variable '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 Variable'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 Variable.
01/01/2025 |
| 03/02/2025 |
If you would invest 0.00 in Invesco Variable on January 1, 2025 and sell it all today you would earn a total of 0.00 from holding Invesco Variable Rate or generate 0.0% return on investment in Invesco Variable over 60 days. Invesco Variable is related to or competes with IShares ESG, First Trust, First Trust, First Trust, and First Trust. The fund invests at least 80 percent of its net assets in a portfolio of investment-grade, variable rate or floating rat... More
Invesco Variable 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 Variable'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 Variable Rate upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 1.09 | |||
Maximum Drawdown | 0.1213 | |||
Value At Risk | (0.04) | |||
Potential Upside | 0.0807 |
Invesco Variable Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco Variable's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco Variable's standard deviation. In reality, there are many statistical measures that can use Invesco Variable historical prices to predict the future Invesco Variable's volatility.Risk Adjusted Performance | 0.3092 | |||
Jensen Alpha | 0.0136 | |||
Total Risk Alpha | 0.0148 | |||
Treynor Ratio | (2.25) |
Invesco Variable Rate Backtested Returns
At this point, Invesco Variable is very steady. Invesco Variable Rate holds Efficiency (Sharpe) Ratio of 0.71, which attests that the entity had a 0.71 % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Invesco Variable Rate, which you can use to evaluate the volatility of the entity. Please check out Invesco Variable's Market Risk Adjusted Performance of (2.24), risk adjusted performance of 0.3092, and Standard Deviation of 0.0338 to validate if the risk estimate we provide is consistent with the expected return of 0.0223%. The etf retains a Market Volatility (i.e., Beta) of -0.0061, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Invesco Variable are expected to decrease at a much lower rate. During the bear market, Invesco Variable is likely to outperform the market.
Auto-correlation | 0.96 |
Excellent predictability
Invesco Variable Rate has excellent predictability. Overlapping area represents the amount of predictability between Invesco Variable time series from 1st of January 2025 to 31st of January 2025 and 31st of January 2025 to 2nd of March 2025. 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 Variable Rate price movement. The serial correlation of 0.96 indicates that 96.0% of current Invesco Variable price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.96 | |
Spearman Rank Test | 0.98 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Invesco Variable Rate lagged returns against current returns
Autocorrelation, which is Invesco Variable 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 Variable's etf expected returns. We can calculate the autocorrelation of Invesco Variable returns to help us make a trade decision. For example, suppose you find that Invesco Variable 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 Variable 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 Variable etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco Variable etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco Variable etf over time.
Current vs Lagged Prices |
Timeline |
Invesco Variable Lagged Returns
When evaluating Invesco Variable's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco Variable etf have on its future price. Invesco Variable 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 Variable autocorrelation shows the relationship between Invesco Variable etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco Variable Rate.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether Invesco Variable Rate 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 Variable Rate Etf. Highlighted below are key reports to facilitate an investment decision about Invesco Variable Rate Etf:Check out Invesco Variable Correlation, Invesco Variable Volatility and Invesco Variable Alpha and Beta module to complement your research on Invesco Variable. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Invesco Variable 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.