Automatic Data Correlations

ADPR34 Stock  BRL 75.95  2.03  2.75%   
The current 90-days correlation between Automatic Data Processing and Ross Stores is -0.14 (i.e., Good diversification). 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
  
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.

Moving together with Automatic Stock

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Moving against Automatic Stock

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  0.67LWSA3 Locaweb Servios dePairCorr

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
SSFO34COWC34
I1RP34ROST34
I1RP34COWC34
ROST34COWC34
BAIQ39COWC34
SSFO34BAIQ39
  
High negative correlations   
A1GI34A1LG34

Risk-Adjusted Indicators

There is a big difference between Automatic Stock performing well and Automatic Data Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Automatic Data's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Automatic Data without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Automatic Data Corporate Management

Elected by the shareholders, the Automatic Data's board of directors comprises two types of representatives: Automatic Data inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Automatic. The board's role is to monitor Automatic Data's management team and ensure that shareholders' interests are well served. Automatic Data's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Automatic Data's outside directors are responsible for providing unbiased perspectives on the board's policies.
David KwonChief VPProfile
Douglas PolitiPresident - Compliance SolutionsProfile
Maria BlackPresident - Worldwide Sales and MarketingProfile
Brock AlbinsonCorporate Controller, Principal Accounting OfficerProfile
Dermot OBrienChief Transformation OfficerProfile
Laura BrownPresident Major Account Services and ADP CanadaProfile
John JonesNon-Executive Independent Chairman of the BoardProfile