Invesco DB (Mexico) Market Value
| DBC Etf | MXN 474.00 0.00 0.00% |
| Symbol | Invesco |
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.
| 12/13/2022 |
| 12/02/2024 |
If you would invest 0.00 in Invesco DB on December 13, 2022 and sell it all today you would earn a total of 0.00 from holding Invesco DB Commodity or generate 0.0% return on investment in Invesco DB over 720 days. Invesco DB is related to or competes with Vanguard Index, Vanguard Index, Vanguard STAR, SPDR SP, IShares Trust, Vanguard Bond, and Invesco QQQ. The investment seeks to track changes, whether positive or negative, in the level of the DBIQ Optimum Yield Diversified ... 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 Commodity upside and downside potential and time the market with a certain degree of confidence.
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.Invesco DB Commodity Backtested Returns
We have found three technical indicators for Invesco DB Commodity, which you can use to evaluate the volatility of the entity. The etf retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Invesco DB are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Invesco DB Commodity has no correlation between past and present. Overlapping area represents the amount of predictability between Invesco DB time series from 13th of December 2022 to 8th of December 2023 and 8th of December 2023 to 2nd 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 DB Commodity price movement. The serial correlation of 0.0 indicates that just 0.0% of current Invesco DB price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Invesco DB Commodity 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 Commodity.
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.Additional Information and Resources on Investing in Invesco Etf
When determining whether Invesco DB Commodity offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Invesco DB's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Invesco Db Commodity Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Invesco Db Commodity Etf: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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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.