Invesco Db Dollar Etf Market Value
| UUP Etf | USD 30.33 0.16 0.53% |
| Symbol | Invesco |
The market value of Invesco DB Dollar 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 DB's value that differs from its market value or its book value, called intrinsic value, which is Invesco DB'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 DB's market value can be influenced by many factors that don't directly affect Invesco DB'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 DB's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco DB is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco DB'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 DB '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 DB'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 DB.
| 12/06/2022 |
| 11/25/2024 |
If you would invest 0.00 in Invesco DB on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding Invesco DB Dollar or generate 0.0% return on investment in Invesco DB over 720 days. Invesco DB is related to or competes with Invesco DB, Invesco CurrencyShares, Invesco CurrencyShares, IShares 20, and ProShares UltraShort. The fund invests in futures contracts in an attempt to track its index More
Invesco DB 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 DB'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 DB Dollar upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4151 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 2.43 | |||
| Value At Risk | (0.50) | |||
| Potential Upside | 0.5759 |
Invesco DB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco DB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco DB's standard deviation. In reality, there are many statistical measures that can use Invesco DB historical prices to predict the future Invesco DB's volatility.| Risk Adjusted Performance | 0.1986 | |||
| Jensen Alpha | 0.0879 | |||
| Total Risk Alpha | 0.0364 | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.921 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco DB'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 DB Dollar Backtested Returns
Currently, Invesco DB Dollar is very steady. Invesco DB Dollar holds Efficiency (Sharpe) Ratio of 0.33, which attests that the entity had a 0.33% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Invesco DB Dollar, which you can use to evaluate the volatility of the entity. Please check out Invesco DB's Market Risk Adjusted Performance of 0.931, coefficient of variation of 370.17, and Risk Adjusted Performance of 0.1986 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The etf retains a Market Volatility (i.e., Beta) of 0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Invesco DB's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco DB is expected to be smaller as well.
Auto-correlation | 0.41 |
Average predictability
Invesco DB Dollar has average predictability. Overlapping area represents the amount of predictability between Invesco DB time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th 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 DB Dollar price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Invesco DB price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Invesco DB Dollar lagged returns against current returns
Autocorrelation, which is Invesco DB 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 DB's etf expected returns. We can calculate the autocorrelation of Invesco DB returns to help us make a trade decision. For example, suppose you find that Invesco DB 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 DB 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 DB etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco DB etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco DB etf over time.
Current vs Lagged Prices |
| Timeline |
Invesco DB Lagged Returns
When evaluating Invesco DB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco DB etf have on its future price. Invesco DB 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 DB autocorrelation shows the relationship between Invesco DB etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco DB Dollar.
Regressed Prices |
| Timeline |
Pair Trading with Invesco DB
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Invesco DB position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Invesco DB will appreciate offsetting losses from the drop in the long position's value.Moving together with Invesco Etf
Moving against Invesco Etf
| 0.99 | UDN | Invesco DB Dollar | PairCorr |
| 0.92 | VIIX | VIIX | PairCorr |
| 0.88 | JAMF | Jamf Holding | PairCorr |
| 0.85 | ERO | Ero Copper Corp | PairCorr |
| 0.8 | GRNB | VanEck Green Bond | PairCorr |
The ability to find closely correlated positions to Invesco DB could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Invesco DB when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Invesco DB - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Invesco DB Dollar to buy it.
The correlation of Invesco DB is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Invesco DB moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Invesco DB Dollar moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Invesco DB can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Invesco DB Correlation, Invesco DB Volatility and Invesco DB Alpha and Beta module to complement your research on Invesco DB. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Invesco DB 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.