Uber Technologies (Brazil) Market Value
| U1BE34 Stock | BRL 103.81 2.01 1.97% |
| Symbol | Uber |
Uber Technologies '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 Uber Technologies' stock 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 Uber Technologies.
| 02/04/2023 |
| 11/25/2024 |
If you would invest 0.00 in Uber Technologies on February 4, 2023 and sell it all today you would earn a total of 0.00 from holding Uber Technologies or generate 0.0% return on investment in Uber Technologies over 660 days. Uber Technologies is related to or competes with Take Two, T Mobile, American Airlines, Agilent Technologies, Charter Communications, Lupatech, and Spotify Technology. Uber Technologies, Inc. develops and operates proprietary technology applications in the United States, Canada, Latin Am... More
Uber Technologies 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 Uber Technologies' stock 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 Uber Technologies upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.6 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 19.08 | |||
| Value At Risk | (3.23) | |||
| Potential Upside | 3.73 |
Uber Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Uber Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Uber Technologies' standard deviation. In reality, there are many statistical measures that can use Uber Technologies historical prices to predict the future Uber Technologies' volatility.| Risk Adjusted Performance | 0.0322 | |||
| Jensen Alpha | 0.1069 | |||
| Total Risk Alpha | (0.34) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.32) |
Uber Technologies Backtested Returns
At this point, Uber Technologies is very steady. Uber Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0362, which indicates the firm had a 0.0362% return per unit of risk over the last 3 months. We have found thirty technical indicators for Uber Technologies, which you can use to evaluate the volatility of the company. Please validate Uber Technologies' Risk Adjusted Performance of 0.0322, coefficient of variation of 3063.51, and Semi Deviation of 2.51 to confirm if the risk estimate we provide is consistent with the expected return of 0.0981%. Uber Technologies has a performance score of 2 on a scale of 0 to 100. The entity has a beta of -0.24, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Uber Technologies are expected to decrease at a much lower rate. During the bear market, Uber Technologies is likely to outperform the market. Uber Technologies right now has a risk of 2.71%. Please validate Uber Technologies coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Uber Technologies will be following its existing price patterns.
Auto-correlation | 0.57 |
Modest predictability
Uber Technologies has modest predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 4th of February 2023 to 31st of December 2023 and 31st 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 Uber Technologies price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Uber Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 92.37 |
Uber Technologies lagged returns against current returns
Autocorrelation, which is Uber Technologies stock'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 Uber Technologies' stock expected returns. We can calculate the autocorrelation of Uber Technologies returns to help us make a trade decision. For example, suppose you find that Uber Technologies has exhibited high autocorrelation historically, and you observe that the stock 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 |
Uber Technologies 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 Uber Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Uber Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Uber Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Uber Technologies Lagged Returns
When evaluating Uber Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Uber Technologies stock have on its future price. Uber Technologies 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, Uber Technologies autocorrelation shows the relationship between Uber Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Uber Technologies.
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 Uber Stock
When determining whether Uber Technologies is a strong investment it is important to analyze Uber Technologies' 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 Uber Technologies' future performance. For an informed investment choice regarding Uber Stock, refer to the following important reports:Check out Uber Technologies Correlation, Uber Technologies Volatility and Uber Technologies Alpha and Beta module to complement your research on Uber Technologies. For information on how to trade Uber Stock refer to our How to Trade Uber Stock guide.You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Uber Technologies technical stock 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, stock market cycles, or different charting patterns.