Automatic Data has
performance score of 6 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.9176, which signifies possible diversification benefits within a given portfolio. Let's try to break down what Automatic's beta means in this case. Automatic Data returns are very sensitive to returns on the market. As the market goes up or down, Automatic Data is expected to follow. Although it is extremely important to respect
Automatic Data Procs historical returns, it is better to be realistic regarding the information on equity current trending patterns. The philosophy towards foreseeing
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 analyzing
Automatic Data Procs technical indicators, you can presently evaluate if the expected return of 0.0851% will be sustainable into the future.
Automatic Data Procs right now shows a risk of 1.02%. Please confirm Automatic Data Procs
semi variance, and the
relationship between the
maximum drawdown and
accumulation distribution to decide if Automatic Data Procs will be following its
price patterns.
The successful prediction of Automatic Data
stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published
stock prices of traded companies, such as Automatic Data Processing, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at
the intrinsic value of Automatic Data based on Automatic Data hews, social hype, general headline patterns, and widely used
predictive technical indicators. We also calculate exposure to Automatic Data's
market risk, different
technical and
fundamental indicators, relevant financial multiples and ratios, and then
comparing them to Automatic Data's related companies.
Use Technical Analysis to project Automatic expected Price
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.
A focus of Automatic Data technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Automatic Data 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...Is Automatic Data valued sensibly by the market?
Automatic Data Procs reported the last year's revenue of 15.01
B. Total Income to common stockholders was 2.6
B with profit before taxes, overhead, and interest of 6.77
B.
| 2018 | 2019 | 2020 | 2021 (projected) |
Long Term Debt to Equity | 0.37 | 0.17 | 0.53 | 0.57 | Interest Coverage | 93.63 | 139.01 | 143.3 | 215.74 |
Deferred Revenue Breakdown
Automatic Data Deferred Revenue yearly trend continues to be very stable with very little volatility. Deferred Revenue is likely to grow to about 577.5
M this year. Deferred Revenue usually refers to a component of Total Liabilities representing the carrying amount of consideration received or receivable on potential earnings that were not recognized as revenue; including sales; license fees; and royalties; but excluding interest income. Automatic Data Deferred Revenue is very stable at the moment as compared to the past year. Automatic Data reported last year Deferred Revenue of 566.3 Million
| 2014 | 591.3 Million |
| 2015 | 614.3 Million |
| 2016 | 624.3 Million |
| 2017 | 673.8 Million |
| 2018 | 620 Million |
| 2019 | 583.1 Million |
| 2020 | 566.3 Million |
| 2021 | 577.51 Million |
Some Automatic technical indicators suggest bounce-back
Recent Jensen Alpha is up to 0.06. Price may decline again. Automatic Data Procs has relatively low volatility with skewness of -0.54 and kurtosis of 0.72. However, we advise all investors to independently investigate Automatic Data Procs to ensure all accessible information is consistent with the expectations about its upside potential and future expected returns. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Automatic Data's stock risk against market volatility during both bullying and bearish trends. The higher level of volatility that comes with bear markets can directly impact Automatic Data's stock price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different stocks as prices fall.
Our Conclusion on Automatic Data
Although some companies within the staffing & employment services industry are still a little expensive, even after the recent corrections, Automatic Data may offer a potential longer-term growth to insiders. With a somewhat neutral outlook on your 90 days horizon, it may be better to hold off any trading activity and neither pick up new shares of Automatic nor drop your existing holdings in the Stock. It seems the expected volatility has not yet been fully factored into the current price. Please use our equity advice module to run different scenarios to ensure your current risk level and investment horizon are fully reflective of your current investing preferences in regards to Automatic Data.
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Vlad Skutelnik is a Macroaxis Contributor. Vlad covers stocks, funds, cryptocurrencies, and ETFs that are traded in North America, focusing primarily on fundamentals, valuation and market volatility. He has many years of experience in fintech, predictive investment analytics, and risk management.
View Profile This story should be regarded as informational only and should not be considered a solicitation to sell or buy any financial products. Macroaxis does not express any opinion as to the present or future value of any investments referred to in this post. This post may not be reproduced without the consent of Macroaxis LLC. Macroaxis LLC and Vlad Skutelnik do not own shares of Automatic Data Processing. Please refer to our
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