Automatic Data (Germany) Alpha and Beta Analysis
| ADP Stock | EUR 289.95 1.70 0.59% |
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Automatic Data Processing. It also helps investors analyze the systematic and unsystematic risks associated with investing in Automatic Data over a specified time horizon. Remember, high Automatic Data's 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 Automatic Data's market risk premium analysis include:
Beta 0.12 | Alpha 0.26 | Risk 1.06 | Sharpe Ratio 0.26 | Expected Return 0.27 |
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.
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Automatic Data Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Automatic Data market risk premium is the additional return an investor will receive from holding Automatic Data 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 Automatic Data. 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 Automatic Data's performance over market.| α | 0.26 | β | 0.12 |
Automatic Data 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 Automatic Data's Buy-and-hold return. Our buy-and-hold chart shows how Automatic Data performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.Automatic Data Market Price Analysis
Market price analysis indicators help investors to evaluate how Automatic Data stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Automatic Data shares will generate the highest return on investment. By understating and applying Automatic Data stock market price indicators, traders can identify Automatic Data position entry and exit signals to maximize returns.
Automatic Data Return and Market Media
The median price of Automatic Data for the period between Wed, Aug 28, 2024 and Tue, Nov 26, 2024 is 261.6 with a coefficient of variation of 5.87. The daily time series for the period is distributed with a sample standard deviation of 15.31, arithmetic mean of 260.97, and mean deviation of 12.98. The Stock did not receive any noticable media coverage during the period. Price Growth (%) |
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About Automatic Data 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 Automatic or other stocks. Alpha measures the amount that position in Automatic Data Processing 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 Automatic Data 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, Automatic Data's short interest history, or implied volatility extrapolated from Automatic Data options trading.
Build Portfolio with Automatic Data
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Additional Information and Resources on Investing in Automatic Stock
When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:Check out Automatic Data Backtesting, Automatic Data Valuation, Automatic Data Correlation, Automatic Data Hype Analysis, Automatic Data Volatility, Automatic Data History and analyze Automatic Data Performance. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Automatic Data 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.