Uber Technologies Stock Market Value

UBER -  USA Stock  

USD 40.52  1.56  3.71%

Uber Technologies' market value is the price at which a share of Uber Technologies stock trades on a public exchange. It measures the collective expectations of Uber Technologies investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Uber Technologies and determine expected loss or profit from investing in Uber Technologies over a given investment horizon. Also, please take a look at Uber Technologies Hype Analysis, Uber Technologies Correlation, Uber Technologies Valuation, Uber Technologies Volatility, as well as analyze Uber Technologies Alpha and Beta and Uber Technologies Performance.
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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 Technologies 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.
The market value of Uber Technologies is measured differently than its book value, which is the value of Uber Technologies 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 Uber Technologies value 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.
0.00
12/09/2019
No Change 0.00  0.0 
In 1 year 11 months and 22 days
11/28/2021
0.00
If you would invest  0.00  in Uber Technologies on December 9, 2019 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 720 days. Uber Technologies is related to or competes with Salesforce, Intuit, Servicenow, Snowflake Inc, and Coinbase Global. Uber Technologies, Inc. develops and operates proprietary technology applications in the United States, Canada, Latin Am...

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.

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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Uber Technologies in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
37.5640.4043.24
Details
Intrinsic
Valuation
LowReal ValueHigh
39.1041.9444.78
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Naive
Forecast
LowNext ValueHigh
35.2638.0940.93
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
39.6642.8746.16
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Uber Technologies. Your research has to be compared to or analyzed against Uber Technologies' peers to derive any actionable benefits. When done correctly, Uber Technologies' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Uber Technologies.

Uber Technologies Backtested Returns

We consider Uber Technologies very steady. Uber Technologies owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0263, which indicates the firm had 0.0263% of return per unit of risk over the last 3 months. Our standpoint towards measuring the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Uber Technologies, which you can use to evaluate the future volatility of the company. Please validate Uber Technologies Coefficient Of Variation of 241126.99, risk adjusted performance of 0.0077, and Semi Deviation of 2.41 to confirm if the risk estimate we provide is consistent with the expected return of 0.0746%.
Uber Technologies has performance score of 1 on a scale of 0 to 100. The entity has a beta of 1.3638, which indicates a somewhat significant risk relative to the market. Let's try to break down what Uber Technologies's beta means in this case. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Uber Technologies will likely underperform. Although it is extremely important to respect Uber Technologies current price movements, it is better to be realistic regarding the information on equity historical returns. The philosophy towards measuring future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By inspecting Uber Technologies technical indicators, you can presently evaluate if the expected return of 0.0746% will be sustainable into the future. Uber Technologies right now has a risk of 2.84%. Please validate Uber Technologies downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Uber Technologies will be following its existing price patterns.
AdviceVolatility TrendExposureCorrelations

Auto-correlation

    
  (0.38)   

Poor reverse predictability

Uber Technologies has poor reverse predictability. Overlapping area represents the amount of predictability between Uber Technologies time series from 9th of December 2019 to 3rd of December 2020 and 3rd of December 2020 to 28th of November 2021. 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 -0.38 indicates that just about 38.0% of current Uber Technologies price fluctuation can be explain by its past prices. Given that Uber Technologies has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Uber Technologies for similar time interval.
Correlation Coefficient-0.38
Spearman Rank Test-0.32
Residual Average0.0
Price Variance34.63

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 stock 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 stock movement to match the lagging time series.
 Current and Lagged Values 
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      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 
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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 
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      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 Technologies. 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 markets does not have a solid backing from leading economists and market statisticians.

Uber Technologies Implied Volatility

    
  58.01  
Uber Technologies' implied volatility exposes the market's sentiment of Uber Technologies stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Uber Technologies' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Uber Technologies stock will not fluctuate a lot when Uber Technologies' options are near their expiration.
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.

Current Sentiment - UBER

Uber Technologies Investor Sentiment

Macroaxis portfolio users are unemotional in their outlook on investing in Uber Technologies. What is your outlook on investing in Uber Technologies? Are you bullish or bearish?
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Also, please take a look at Uber Technologies Hype Analysis, Uber Technologies Correlation, Uber Technologies Valuation, Uber Technologies Volatility, as well as analyze Uber Technologies Alpha and Beta and Uber Technologies Performance. 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 Commodity Channel Index module to use Commodity Channel Index to analyze current equity momentum.

Complementary Tools for Uber Technologies 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 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.
A focus of Uber Technologies technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Uber Technologies trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...