Uber Technologies (Germany) Alpha and Beta Analysis
UT8 Stock | EUR 58.60 0.44 0.76% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Uber Technologies. It also helps investors analyze the systematic and unsystematic risks associated with investing in Uber Technologies over a specified time horizon. Remember, high Uber Technologies' alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Uber Technologies' market risk premium analysis include:
Beta 0.0256 | Alpha (0.15) | Risk 2.98 | Sharpe Ratio (0.06) | Expected Return (0.18) |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
Uber |
Uber Technologies Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Uber Technologies market risk premium is the additional return an investor will receive from holding Uber Technologies long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Uber Technologies. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Uber Technologies' performance over market.α | -0.15 | β | 0.03 |
Uber Technologies expected buy-and-hold returns
Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Uber Technologies' Buy-and-hold return. Our buy-and-hold chart shows how Uber Technologies performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Uber Technologies Market Price Analysis
Market price analysis indicators help investors to evaluate how Uber Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Uber Technologies shares will generate the highest return on investment. By understating and applying Uber Technologies stock market price indicators, traders can identify Uber Technologies position entry and exit signals to maximize returns.
Uber Technologies Return and Market Media
The median price of Uber Technologies for the period between Mon, Sep 23, 2024 and Sun, Dec 22, 2024 is 67.99 with a coefficient of variation of 7.28. The daily time series for the period is distributed with a sample standard deviation of 4.94, arithmetic mean of 67.78, and mean deviation of 3.54. The Stock did not receive any noticable media coverage during the period. Price Growth (%) |
Timeline |
About Uber Technologies Beta and Alpha
For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Uber or other stocks. Alpha measures the amount that position in Uber Technologies has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
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.
Build Portfolio with Uber Technologies
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Additional Information and Resources on Investing in Uber Stock
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 Backtesting, Uber Technologies Valuation, Uber Technologies Correlation, Uber Technologies Hype Analysis, Uber Technologies Volatility, Uber Technologies History and analyze Uber Technologies Performance. For more detail on how to invest in Uber Stock please use our How to Invest in Uber Technologies guide.You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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.