Uber Technologies Stock Market Value
| UBER Stock | USD 74.28 1.34 1.84% |
| Symbol | Uber |
Uber Technologies Price To Book Ratio
Is Passenger Ground Transportation space 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 1.541 | Earnings Share 0.92 | Revenue Per Share 19.36 | Quarterly Revenue Growth 0.159 | Return On Assets 0.0333 |
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.
| 09/06/2024 |
| 10/06/2024 |
If you would invest 0.00 in Uber Technologies on September 6, 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 Zoom Video, Snowflake, Workday, Shopify, Salesforce, 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.
| Downside Deviation | 2.22 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 13.81 | |||
| Value At Risk | (3.33) | |||
| Potential Upside | 5.29 |
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 | 0.0363 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.26) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0726 |
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 0.0368, which indicates the firm had a 0.0368% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Uber Technologies, which you can use to evaluate the volatility of the company. Please validate Uber Technologies' Semi Deviation of 2.13, risk adjusted performance of 0.0363, and Coefficient Of Variation of 2767.81 to confirm if the risk estimate we provide is consistent with the expected return of 0.0995%. Uber Technologies has a performance score of 2 on a scale of 0 to 100. The entity has a beta of 1.2, 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 right now has a risk of 2.7%. Please validate Uber Technologies downside variance, and the relationship between the sortino ratio and accumulation distribution , to decide if Uber Technologies will be following its existing price patterns.
Auto-correlation | -0.69 |
Very good reverse predictability
Uber Technologies has very good reverse predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 6th of September 2024 to 21st of September 2024 and 21st of September 2024 to 6th of October 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 -0.69 indicates that around 69.0% of current Uber Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 2.22 |
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 |
Pair Trading with Uber Technologies
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Uber Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Uber Technologies will appreciate offsetting losses from the drop in the long position's value.Moving together with Uber Stock
Moving against Uber Stock
| 0.59 | EB | Eventbrite Class A | PairCorr |
| 0.56 | DV | DoubleVerify Holdings | PairCorr |
| 0.48 | DMAN | Innovativ Media Group | PairCorr |
| 0.43 | ML | MoneyLion | PairCorr |
| 0.43 | DOMO | Domo Inc | PairCorr |
The ability to find closely correlated positions to Uber Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Uber Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Uber Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Uber Technologies to buy it.
The correlation of Uber Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Uber Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Uber Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Uber Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.