Uber Technologies (Germany) Probability of Future Stock Price Finishing Over 58.37
| UT8 Stock | 58.70 0.76 1.31% |
Uber |
Uber Technologies Target Price Odds to finish over 58.37
The tendency of Uber Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above 58.37 in 90 days |
| 58.70 | 90 days | 58.37 | roughly 97.0 |
Based on a normal probability distribution, the odds of Uber Technologies to stay above 58.37 in 90 days from now is roughly 97.0 (This Uber Technologies probability density function shows the probability of Uber Stock to fall within a particular range of prices over 90 days) . Probability of Uber Technologies price to stay between 58.37 and its current price of 58.7 at the end of the 90-day period is near 1 .
Assuming the 90 days trading horizon Uber Technologies has a beta of -0.15. This usually implies as returns on the benchmark increase, returns on holding Uber Technologies are expected to decrease at a much lower rate. During a bear market, however, Uber Technologies is likely to outperform the market. Additionally Uber Technologies has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Uber Technologies Price Density |
| Price |
Predictive Modules for Uber Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Uber Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Uber Technologies is not an exception. The market had few large corrections towards the Uber Technologies' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Uber Technologies, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Uber Technologies within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.14 | |
β | Beta against Dow Jones | -0.15 | |
σ | Overall volatility | 4.97 | |
Ir | Information ratio | -0.05 |
Uber Technologies Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Uber Technologies for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Uber Technologies can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Uber Technologies generated a negative expected return over the last 90 days | |
| Uber Technologies has high historical volatility and very poor performance | |
| The company reported the revenue of 31.88 B. Net Loss for the year was (9.14 B) with profit before overhead, payroll, taxes, and interest of 9.8 B. | |
| About 75.0% of the company outstanding shares are owned by institutional investors |
Uber Technologies Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Uber Stock often depends not only on the future outlook of the current and potential Uber Technologies' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Uber Technologies' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2 B |
Uber Technologies Technical Analysis
Uber Technologies' future price can be derived by breaking down and analyzing its technical indicators over time. Uber Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Uber Technologies. In general, you should focus on analyzing Uber Stock price patterns and their correlations with different microeconomic environments and drivers.
Uber Technologies Predictive Forecast Models
Uber Technologies' time-series forecasting models is one of many Uber Technologies' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Uber Technologies' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Uber Technologies
Checking the ongoing alerts about Uber Technologies for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Uber Technologies help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Uber Technologies generated a negative expected return over the last 90 days | |
| Uber Technologies has high historical volatility and very poor performance | |
| The company reported the revenue of 31.88 B. Net Loss for the year was (9.14 B) with profit before overhead, payroll, taxes, and interest of 9.8 B. | |
| About 75.0% of the company outstanding shares are owned by institutional investors |
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.