Automatic Data (Brazil) Performance

ADPR34 Stock  BRL 73.48  1.73  2.41%   
The firm shows a Beta (market volatility) of 0.0055, which signifies not very significant fluctuations relative to the market. 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. Automatic Data Processing right now shows a risk of 1.5%. Please confirm Automatic Data Processing total risk alpha, potential upside, kurtosis, as well as the relationship between the treynor ratio and skewness , to decide if Automatic Data Processing will be following its price patterns.

Risk-Adjusted Performance

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Over the last 90 days Automatic Data Processing has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Automatic Data is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors. ...more
JavaScript chart by amCharts 3.21.15FebMar -10-505
JavaScript chart by amCharts 3.21.15Automatic Data Processing Automatic Data Processing Dividend Benchmark Dow Jones Industrial
Begin Period Cash Flow13.1 B
Total Cashflows From Investing Activities-7 B
  

Automatic Data Relative Risk vs. Return Landscape

If you would invest  7,392  in Automatic Data Processing on January 16, 2025 and sell it today you would lose (44.00) from holding Automatic Data Processing or give up 0.6% of portfolio value over 90 days. Automatic Data Processing is generating 0.0016% of daily returns and assumes 1.5025% volatility on return distribution over the 90 days horizon. Simply put, 13% of stocks are less volatile than Automatic, and 99% of all equity instruments are likely to generate higher returns than the company over the next 90 trading days.
  Expected Return   
JavaScript chart by amCharts 3.21.15CashMarketADPR34 0.00.51.01.5 -0.14-0.12-0.10-0.08-0.06-0.04-0.020.00
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Assuming the 90 days trading horizon Automatic Data is expected to generate 0.93 times more return on investment than the market. However, the company is 1.07 times less risky than the market. It trades about 0.0 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.08 per unit of risk.

Automatic Data Market Risk Analysis

Today, many novice investors tend to focus exclusively on investment returns with little concern for Automatic Data's investment risk. Standard deviation is the most common way to measure market volatility of stocks, such as Automatic Data Processing, and traders can use it to determine the average amount a Automatic Data's price has deviated from the expected return over a period of time. It is calculated by determining the expected price for the established period and then subtracting this figure from each price point. The differences are then squared, summed, and averaged to produce the variance.

Sharpe Ratio = 0.0011

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Estimated Market Risk

 1.5
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87% of assets are more volatile

Expected Return

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Risk-Adjusted Return

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Based on monthly moving average Automatic Data is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Automatic Data by adding Automatic Data to a well-diversified portfolio.

Automatic Data Fundamentals Growth

Automatic Stock prices reflect investors' perceptions of the future prospects and financial health of Automatic Data, and Automatic Data fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Automatic Stock performance.

About Automatic Data Performance

By analyzing Automatic Data's fundamental ratios, stakeholders can gain valuable insights into Automatic Data's financial health, operational efficiency, and overall profitability, helping them make informed investment and management decisions. For instance, if Automatic Data has a high ROA and ROE, it suggests that the company is efficiently using its assets and equity to generate substantial profits, making it an attractive investment. Conversely, if Automatic Data has a low ROA and ROE, it may indicate underlying issues in asset and equity management, signaling a need for operational improvements.
Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. AUTOMATIC DTDRN operates under Staffing Employment Services classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 58000 people.

Things to note about Automatic Data Processing performance evaluation

Checking the ongoing alerts about Automatic Data for important developments is a great way to find new opportunities for your next move. Stock alerts and notifications screener for Automatic Data Processing help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Evaluating Automatic Data's performance can involve analyzing a variety of financial metrics and factors. Some of the key considerations to evaluate Automatic Data's stock performance include:
  • Analyzing Automatic Data's financial statements, including its income statement, balance sheet, and cash flow statement, helps in understanding its overall financial health and growth potential.
  • Getting a closer look at valuation ratios like price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and price-to-book (P/B) ratio help in understanding whether Automatic Data's stock is overvalued or undervalued compared to its peers.
  • Examining Automatic Data's industry or sector and how it is performing can give you an idea of its growth potential and how it is positioned relative to its competitors.
  • Evaluating Automatic Data's management team can have a significant impact on its success or failure. Reviewing the track record and experience of Automatic Data's management team can help you assess the Company's leadership.
  • Pay attention to analyst opinions and ratings of Automatic Data's stock. These opinions can provide insight into Automatic Data's potential for growth and whether the stock is currently undervalued or overvalued.
It's essential to remember that evaluating Automatic Data's stock performance is not an exact science, and many factors can impact Automatic Data's stock market price. Therefore, it's also important to diversify your portfolio and not rely solely on one company or stock for your investments.

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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