Uber Technologies (Germany) Market Value
| UT8 Stock | EUR 58.16 0.44 0.75% |
| 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.
| 11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in Uber Technologies on November 22, 2024 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 30 days. Uber Technologies is related to or competes with Salesforce, ServiceNow, Snowflake, Shopify, Workday, and Trade Desk. 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 | (0.07) | |||
| Maximum Drawdown | 21.15 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 2.65 |
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 | (0.04) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.24) |
Uber Technologies Backtested Returns
Uber Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0608, which indicates the firm had a -0.0608% return per unit of risk over the last 3 months. Uber Technologies exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Uber Technologies' Coefficient Of Variation of (1,575), variance of 9.06, and Risk Adjusted Performance of (0.04) to confirm the risk estimate we provide. The entity has a beta of 0.84, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Uber Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Uber Technologies is expected to be smaller as well. At this point, Uber Technologies has a negative expected return of -0.18%. Please make sure to validate Uber Technologies' jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if Uber Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.19 |
Very weak predictability
Uber Technologies has very weak predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd 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 Uber Technologies price movement. The serial correlation of 0.19 indicates that over 19.0% of current Uber Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 2.49 |
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 |
Currently Active Assets on Macroaxis
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 more detail on how to invest in Uber Stock please use our How to Invest in Uber Technologies guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global 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.