United States (Mexico) Market Value
| USO Etf | MXN 1,350 0.00 0.00% |
| Symbol | United |
United States '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 United States' 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 United States.
| 04/03/2024 |
| 05/03/2024 |
If you would invest 0.00 in United States on April 3, 2024 and sell it all today you would earn a total of 0.00 from holding United States Oil or generate 0.0% return on investment in United States over 30 days. United States is related to or competes with Vanguard Index, and Vanguard International. More
United States 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 United States' 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 United States Oil upside and downside potential and time the market with a certain degree of confidence.
United States Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for United States' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as United States' standard deviation. In reality, there are many statistical measures that can use United States historical prices to predict the future United States' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of United States' 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.
United States Oil Backtested Returns
We have found three technical indicators for United States Oil, which you can use to evaluate the volatility of the etf. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and United States are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
United States Oil has no correlation between past and present. Overlapping area represents the amount of predictability between United States time series from 3rd of April 2024 to 18th of April 2024 and 18th of April 2024 to 3rd of May 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 United States Oil price movement. The serial correlation of 0.0 indicates that just 0.0% of current United States 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 |
United States Oil lagged returns against current returns
Autocorrelation, which is United States 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 United States' etf expected returns. We can calculate the autocorrelation of United States returns to help us make a trade decision. For example, suppose you find that United States 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 |
United States 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 United States etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if United States etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in United States etf over time.
Current vs Lagged Prices |
| Timeline |
United States Lagged Returns
When evaluating United States' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of United States etf have on its future price. United States 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, United States autocorrelation shows the relationship between United States etf current value and its past values and can show if there is a momentum factor associated with investing in United States Oil.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards United States in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, United States' short interest history, or implied volatility extrapolated from United States options trading.
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Check out United States Correlation, United States Volatility and United States Alpha and Beta module to complement your research on United States. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
United States 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.