Automatic Data Processing Stock In The News
| ADP Stock | USD 242.39 0.50 0.21% |
The overall news coverage of Automatic Data Processing from major news outlets shows solid bullish sentiment on 17 news articles, blog posts, and TV commentaries analyzed in the last few months. Our overall analysis of Automatic Data's news coverage and content from conventional and social sources shows investors' bearish mood towards Automatic Data Processing. The specific impact of Automatic Data news on its stock price will depend on a range of factors, including the nature and significance of the news report and investors' perceptions of Automatic Data's overall financial health and prospects. It also depends on the type and quality of a news publisher.
Some academic researchers believe in a strong correlation between financial news and their impacts on the movements of stock prices. Macroaxis does not take a position on this subject and only provides tools that can help investors to time the market using Automatic Data headlines in addition to utilizing other, more conventional financial analysis modules. Check out Automatic Data Backtesting and Automatic Data Hype Analysis.
Automatic |
Automatic Data Today Top News and Investor Outlook
Automatic Data Processing Past News Timeline
Popular news outlets such as MarketWatch, Bloomberg, or Reuters provide Automatic and other traded companies coverage. We help investors stay connected with Automatic headlines for the 6th of May to make an informed investment decision based on correlating the impacts of news items on Automatic Stock performance. Please note that trading solely based on the Automatic Data Processing hype is not for everyone as timely availability and quick action are needed to avoid losses.Automatic Data stock price changes are notoriously difficult to predict based exclusively on its news coverage or social hype. Still, the Automatic earnings-per-share ratio is a good starting point for gauging a company's future prospects. If a firm's EPS rises and meets or even beats consensus forecasts, its shares stand to increase. However, some very sophisticated investors can spot management manipulation of EPS through actions such as buybacks.
Far too much social signal, news, headlines, and media speculation about Automatic Data that are available to investors today. That information is available publicly through Automatic media outlets and privately through word of mouth or via Automatic internal channels. However, regardless of the origin, that massive amount of Automatic data is challenging to quantify into actionable patterns, especially for investors that are not very sophisticated with ever-evolving tools and techniques used in the investment management field.
A primary focus of Automatic Data news analysis is to determine if its current price reflects all relevant headlines and social signals impacting the current market conditions. A news analyst typically looks at the history of Automatic Data relative headlines and hype rather than examining external drivers such as technical or fundamental data. It is believed that price action tends to repeat itself due to investors' collective, patterned thinking related to Automatic Data's headlines and news coverage data. This data is often completely overlooked or insufficiently analyzed for actionable insights to drive Automatic Data alpha.
Automatic Largest EPS Surprises
Earnings surprises can significantly impact Automatic Data's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
| Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
|---|---|---|---|---|---|---|---|
2003-10-17 | 2003-09-30 | 0.29 | 0.32 | 0.03 | 10 | ||
2009-11-04 | 2009-09-30 | 0.5 | 0.56 | 0.06 | 12 | ||
2018-01-31 | 2017-12-31 | 0.9 | 0.99 | 0.09 | 10 | ||
2016-11-02 | 2016-09-30 | 0.76 | 0.86 | 0.1 | 13 | ||
2021-10-27 | 2021-09-30 | 1.49 | 1.65 | 0.16 | 10 | ||
2019-01-30 | 2018-12-31 | 1.18 | 1.34 | 0.16 | 13 |
Automatic Data Stock Latest Headlines
Some academic researchers believe in a strong correlation between financial news and their impacts on the movements of stock prices. Macroaxis does not take a position on this subject and only provides tools that can help investors to time the market using conventional financial analysis. Below is the latest headlines and news related to Automatic Data Processing Stock. Current markets are strongly bullish. About 83% of major world exchanges and indexes are currently up. See today's market update for more information.
3rd of May 2024
Heres What Analysts Are Forecasting For Automatic Data Processing, Inc. After Its Third-Qu... at simplywall.st
2nd of May 2024
Automatic Data Processing, Inc. Q3 2024 Earnings Call Transcript at finance.yahoo.com
1st of May 2024
Earnings call ADP posts robust Q3 2024 results, raises outlook at investing.com
26th of April 2024
ADP Q3 Earnings Preview What You Should Know Beyond the Headline Estimates at zacks.com
25th of April 2024
Buy List Stock For April 2024 Automatic Data Processing at talkmarkets.com
24th of April 2024
Automatic Data Processing Reports Next Week Wall Street Expects Earnings Growth at zacks.com
19th of April 2024
Interpublic to Report Q1 Earnings Whats in the Card at zacks.com
8th of April 2024
Automatic Data Processing Ascends While Market Falls Some Facts to Note at finance.yahoo.com
Automatic Data Investors Sentiment
The influence of Automatic Data's 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 Automatic. 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 market does not have solid backing from leading economists and market statisticians.
Investor biases related to Automatic Data's public news can be used to forecast risks associated with an investment in Automatic. The trend in average sentiment can be used to explain how an investor holding Automatic can time the market purely based on public headlines and social activities around Automatic Data Processing. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Automatic Data's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Automatic Data's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Automatic Data's news discussions. The higher the estimated score, the more favorable is the investor's outlook on Automatic Data.
Automatic Data Implied Volatility | 17.73 |
Automatic Data's implied volatility exposes the market's sentiment of Automatic Data Processing stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Automatic Data's 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 Automatic Data stock will not fluctuate a lot when Automatic Data's 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 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.
Check out Automatic Data Backtesting and Automatic Data Hype Analysis. Note that the Automatic Data Processing information on this page should be used as a complementary analysis to other Automatic Data's 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 the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Automatic Stock analysis
When running Automatic Data's price analysis, check to measure Automatic Data's 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 Automatic Data is operating at the current time. Most of Automatic Data's value examination focuses on studying past and present price action to predict the probability of Automatic Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Automatic Data's price. Additionally, you may evaluate how the addition of Automatic Data to your portfolios can decrease your overall portfolio volatility.
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Is Automatic Data's 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 Automatic Data. If investors know Automatic 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 Automatic Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.147 | Dividend Share 5.3 | Earnings Share 8.95 | Revenue Per Share 45.972 | Quarterly Revenue Growth 0.066 |
The market value of Automatic Data Processing is measured differently than its book value, which is the value of Automatic that is recorded on the company's balance sheet. Investors also form their own opinion of Automatic Data's value that differs from its market value or its book value, called intrinsic value, which is Automatic Data's 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 Automatic Data's market value can be influenced by many factors that don't directly affect Automatic Data's 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 Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's 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.