Uber Technologies (Germany) Market Value
| UT8 Stock | 67.57 0.73 1.09% |
| 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.
| 11/29/2023 |
| 11/23/2024 |
If you would invest 0.00 in Uber Technologies on November 29, 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 360 days. Uber Technologies is related to or competes with Apple, Apple, Apple, Apple, Apple, Microsoft, and Microsoft. 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 | 2.94 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 20.49 | |||
| Value At Risk | (2.66) | |||
| Potential Upside | 3.2 |
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 | 0.0231 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.29) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0454 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Uber Technologies' 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.
Uber Technologies Backtested Returns
Currently, 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 0.0231, coefficient of variation of 4743.91, and Semi Deviation of 2.82 to confirm if the risk estimate we provide is consistent with the expected return of 0.0927%. Uber Technologies has a performance score of 2 on a scale of 0 to 100. The entity has a beta of 0.96, which indicates possible diversification benefits within a given portfolio. 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 2.56%. Please validate Uber Technologies total risk alpha, expected short fall, market facilitation index, as well as the relationship between the value at risk and daily balance of power , to decide if Uber Technologies will be following its existing price patterns.
Auto-correlation | 0.11 |
Insignificant predictability
Uber Technologies has insignificant predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 29th of November 2023 to 27th of May 2024 and 27th of May 2024 to 23rd 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 0.11 indicates that less than 11.0% of current Uber Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 20.07 |
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 |
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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 Tools for Uber Stock Analysis
When running Uber Technologies' price analysis, check to measure Uber Technologies' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Uber Technologies is operating at the current time. Most of Uber Technologies' value examination focuses on studying past and present price action to predict the probability of Uber Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Uber Technologies' price. Additionally, you may evaluate how the addition of Uber Technologies to your portfolios can decrease your overall portfolio volatility.