Uber Technologies (UK) Market Value
| 0A1U Stock | USD 0.91 0.03 3.41% |
| 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.
| 09/07/2025 |
| 12/06/2025 |
If you would invest 0.00 in Uber Technologies on September 7, 2025 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 90 days. Uber Technologies is related to or competes with Central Asia, Metals Exploration, GreenX Metals, PureTech Health, Eco Animal, AMG Advanced, and Naturhouse Health. 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.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 15.63 | |||
| Value At Risk | (4.08) | |||
| Potential Upside | 3.26 |
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 | 0.0048 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (0.02) |
Uber Technologies Backtested Returns
As of now, Uber Stock is dangerous. Uber Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0186, which indicates the firm had a 0.0186 % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Uber Technologies, which you can use to evaluate the volatility of the company. Please validate Uber Technologies' Coefficient Of Variation of (30,919), variance of 5.21, and Risk Adjusted Performance of 0.0048 to confirm if the risk estimate we provide is consistent with the expected return of 0.0421%. Uber Technologies has a performance score of 1 on a scale of 0 to 100. The entity has a beta of 1.01, which indicates a somewhat significant risk relative to the market. Uber Technologies returns are very sensitive to returns on the market. As the market goes up or down, Uber Technologies is expected to follow. Uber Technologies right now has a risk of 2.27%. Please validate Uber Technologies mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Uber Technologies will be following its existing price patterns.
Auto-correlation | -0.32 |
Poor reverse predictability
Uber Technologies has poor reverse predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 7th of September 2025 to 22nd of October 2025 and 22nd of October 2025 to 6th of December 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 Uber Technologies price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Uber Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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 |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out Uber Technologies Correlation, Uber Technologies Volatility and Uber Technologies Alpha and Beta module to complement your research on Uber Technologies. For more information on how to buy Uber Stock please use our How to buy in Uber Stock guide.You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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.