Uber Technologies Stock Market Value
| UBER Stock | USD 66.99 0.94 1.38% |
| Symbol | Uber |
Uber Technologies Price To Book Ratio
Is Uber Technologies' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Uber Technologies. If investors know Uber will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Uber Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.269 | Earnings Share 0.63 | Revenue Per Share 18.798 | Quarterly Revenue Growth 0.148 | Return On Assets 0.0253 |
The market value of Uber Technologies is measured differently than its book value, which is the value of Uber that is recorded on the company's balance sheet. Investors also form their own opinion of Uber Technologies' value that differs from its market value or its book value, called intrinsic value, which is Uber Technologies' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Uber Technologies' market value can be influenced by many factors that don't directly affect Uber Technologies' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Uber Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Uber Technologies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Uber Technologies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 02/12/2024 |
| 05/12/2024 |
If you would invest 0.00 in Uber Technologies on February 12, 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 90 days. Uber Technologies is related to or competes with Manhattan Associates, Model N, Paycom Soft, Clearwater Analytics, Procore Technologies, Alkami Technology, and American Software. 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 | (0.05) | |||
| Maximum Drawdown | 20.45 | |||
| Value At Risk | (2.95) | |||
| Potential Upside | 2.83 |
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) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.37) | |||
| Treynor Ratio | (0.03) |
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
Uber Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0062, which indicates the firm had a -0.0062% return per unit of risk over the last 3 months. Uber Technologies exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Uber Technologies' Coefficient Of Variation of (5,397), variance of 6.81, and Risk Adjusted Performance of (0) to confirm the risk estimate we provide. The entity has a beta of 1.91, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Uber Technologies will likely underperform. Uber Technologies has an expected return of -0.0164%. Please make sure to validate Uber Technologies value at risk, as well as the relationship between the daily balance of power and price action indicator , to decide if Uber Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.26 |
Weak reverse predictability
Uber Technologies has weak reverse predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 12th of February 2024 to 28th of March 2024 and 28th of March 2024 to 12th of May 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 -0.26 indicates that nearly 26.0% of current Uber Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 13.0 |
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 |
Uber Technologies Investors Sentiment
The influence of Uber Technologies' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Uber. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Uber Technologies' public news can be used to forecast risks associated with an investment in Uber. The trend in average sentiment can be used to explain how an investor holding Uber can time the market purely based on public headlines and social activities around Uber Technologies. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Uber Technologies' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Uber Technologies' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Uber Technologies' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Uber Technologies.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Uber Technologies in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Uber Technologies' short interest history, or implied volatility extrapolated from Uber Technologies options trading.
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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.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. To learn how to invest in Uber Stock, please use our How to Invest in Uber Technologies guide.Note that the Uber Technologies information on this page should be used as a complementary analysis to other Uber Technologies' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Complementary 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.
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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.