Uber Technologies,'s market value is the price at which a share of Uber Technologies, trades on a public exchange. It measures the collective expectations of Uber Technologies, investors about its performance. Uber Technologies, is trading at 26.00 as of the 8th of January 2025. This is a 4.41% down since the beginning of the trading day. The stock's lowest day price was 26.0. 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. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
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,'s 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
12/09/2024
No Change 0.00
0.0
In 31 days
01/08/2025
0.00
If you would invest 0.00 in Uber Technologies, on December 9, 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, 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,'s 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.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Uber Technologies,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Uber Technologies,'s standard deviation. In reality, there are many statistical measures that can use Uber Technologies, historical prices to predict the future Uber Technologies,'s volatility.
Uber Technologies, owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the firm had a -0.1% 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,'s Variance of 10.52, risk adjusted performance of (0.01), and Coefficient Of Variation of (4,087) to confirm the risk estimate we provide. The entity has a beta of -0.91, which indicates possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Uber Technologies, are expected to decrease slowly. On the other hand, during market turmoil, Uber Technologies, is expected to outperform it slightly. At this point, Uber Technologies, has a negative expected return of -0.33%. Please make sure to validate Uber Technologies,'s treynor ratio, value at risk, and the relationship between the total risk alpha and maximum drawdown , to decide if Uber Technologies, performance from the past will be repeated at some point in the near future.
Auto-correlation
-0.67
Very good reverse predictability
Uber Technologies, has very good reverse predictability. Overlapping area represents the amount of predictability between Uber Technologies, time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th of January 2025. 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 -0.67 indicates that around 67.0% of current Uber Technologies, price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.67
Spearman Rank Test
-0.68
Residual Average
0.0
Price Variance
1.87
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,'s 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,'s 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,.