Automatic Data Processing Stock Market Value
| ADP Stock | USD 225.53 1.09 0.48% |
| Symbol | Automatic |
Can Human Resource & Employment Services industry sustain growth momentum? Does Automatic have expansion opportunities? 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. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Automatic Data demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth 0.115 | Dividend Share 6.32 | Earnings Share 10.35 | Revenue Per Share | Quarterly Revenue Growth 0.062 |
Understanding Automatic Data Processing requires distinguishing between market price and book value, where the latter reflects Automatic's accounting equity. The concept of intrinsic value - what Automatic Data's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push Automatic Data's price substantially above or below its fundamental value.
Understanding that Automatic Data's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Automatic Data represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, Automatic Data's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Automatic Data 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Automatic Data's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Automatic Data.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in Automatic Data on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding Automatic Data Processing or generate 0.0% return on investment in Automatic Data over 90 days. Automatic Data is related to or competes with Custom Truck, Insperity, NAPCO Security, Ducommun Incorporated, Willdan, Compass Diversified, and Navios Maritime. Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide More
Automatic Data Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Automatic Data's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Automatic Data Processing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 7.52 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.69 |
Automatic Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Automatic Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Automatic Data's standard deviation. In reality, there are many statistical measures that can use Automatic Data historical prices to predict the future Automatic Data's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | (0.32) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Automatic Data's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Automatic Data February 11, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | (0.12) | |||
| Market Risk Adjusted Performance | (0.31) | |||
| Mean Deviation | 0.9457 | |||
| Coefficient Of Variation | (641.62) | |||
| Standard Deviation | 1.25 | |||
| Variance | 1.57 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.26) | |||
| Total Risk Alpha | (0.33) | |||
| Treynor Ratio | (0.32) | |||
| Maximum Drawdown | 7.52 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.69 | |||
| Skewness | (0.82) | |||
| Kurtosis | 2.4 |
Automatic Data Processing Backtested Returns
Automatic Data Processing secures Sharpe Ratio (or Efficiency) of -0.15, which signifies that the company had a -0.15 % return per unit of risk over the last 3 months. Automatic Data Processing exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Automatic Data's Risk Adjusted Performance of (0.12), mean deviation of 0.9457, and Standard Deviation of 1.25 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.64, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Automatic Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Automatic Data is expected to be smaller as well. At this point, Automatic Data Processing has a negative expected return of -0.18%. Please make sure to confirm Automatic Data's skewness, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Automatic Data Processing performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.47 |
Modest reverse predictability
Automatic Data Processing has modest reverse predictability. Overlapping area represents the amount of predictability between Automatic Data time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Automatic Data Processing price movement. The serial correlation of -0.47 indicates that about 47.0% of current Automatic Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 132.93 |
Pair Trading with Automatic Data
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Automatic Data position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Automatic Data will appreciate offsetting losses from the drop in the long position's value.Moving together with Automatic Stock
Moving against Automatic Stock
| 0.77 | CEN | Groupe CRIT SA | PairCorr |
| 0.38 | JOB | GEE Group Earnings Call This Week | PairCorr |
| 0.35 | RHI | Robert Half International | PairCorr |
| 0.32 | HQI | Hirequest | PairCorr |
The ability to find closely correlated positions to Automatic Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automatic Data when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Automatic Data - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Automatic Data Processing to buy it.
The correlation of Automatic Data is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Automatic Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automatic Data Processing moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Automatic Data can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.