Acquisition by Maria Black of 15428 shares of Automatic Data subject to Rule 16b-3
| 0HJI Stock | 296.39 3.07 1.05% |
Slightly above 50% of Automatic Data's private investors are presently thinking to get in. The analysis of overall sentiment of trading Automatic Data Processing stock suggests that some investors are interested at this time. Automatic Data's investing sentiment can be driven by a variety of factors including economic data, Automatic Data's earnings reports, geopolitical events, and overall market trends.
Automatic Data stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Automatic daily returns and investor perception about the current price of Automatic Data Processing as well as its diversification or hedging effects on your existing portfolios.
Automatic |
Filed transaction by Automatic Data Processing Officer: President & Ceo. Grant, award or other acquisition pursuant to Rule 16b-3(d)
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Cash Flow Correlation
Automatic Data's cash-flow correlation analysis can be used to evaluate the unsystematic risk during the given period. It also helps investors identify the Automatic Data's relationships between the major components of the statement of changes in financial position and other commonly used cash-related accounts. When such correlations are discovered, they may help managers and analysts to enhance performance or determine appealing investment opportunities.Click cells to compare fundamentals
Automatic Data Fundamental Analysis
We analyze Automatic Data's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Automatic Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Automatic Data based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Probability Of Bankruptcy
Probability Of Bankruptcy Comparative Analysis
Automatic Data is currently under evaluation in probability of bankruptcy category among its peers. Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
Automatic Data Processing Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Automatic Data stock to make a market-neutral strategy. Peer analysis of Automatic Data could also be used in its relative valuation, which is a method of valuing Automatic Data by comparing valuation metrics with similar companies.
Peers
Automatic Data Related Equities
| AYM | Anglesey Mining | 4.29 | ||||
| 0K34 | Monster Beverage | 1.60 | ||||
| MONY | MoneysupermarketCom | 0.95 | ||||
| BRWM | Blackrock World | 0.73 | ||||
| 0LHR | Tyson Foods | 0.02 | ||||
| SBDS | Silver Bullet | 1.57 | ||||
| ATM | AfriTin Mining | 2.69 |
Additional 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.