Correlation Between First and Automatic Data

Can any of the company-specific risk be diversified away by investing in both First and Automatic Data at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining First and Automatic Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between First Class Metals and Automatic Data Processing, you can compare the effects of market volatilities on First and Automatic Data and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in First with a short position of Automatic Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of First and Automatic Data.

Diversification Opportunities for First and Automatic Data

0.18

Correlation Coefficient

First  Automatic Data

Average diversification

The 3 months correlation between First and Automatic is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding First Class Metals and Automatic Data Processing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Automatic Data Processing and First is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on First Class Metals are associated (or correlated) with Automatic Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Automatic Data Processing has no effect on the direction of First i.e., First and Automatic Data go up and down completely randomly.

Pair Corralation between First and Automatic Data

Assuming the 90 days trading horizon First Class Metals is expected to under-perform the Automatic Data. But the stock apears to be less risky and, when comparing its historical volatility, First Class Metals is 4.49 times less risky than Automatic Data. The stock trades about -0.05 of its potential returns per unit of risk. The Automatic Data Processing is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  29,178  in Automatic Data Processing on December 23, 2024 and sell it today you would earn a total of  249.00  from holding Automatic Data Processing or generate 0.85% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	98.44%
Values	Daily Returns

First Class Metals  vs.  Automatic Data Processing

First Class Metals

Risk-Adjusted Performance

Very Weak

Over the last 90 days First Class Metals has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Stock's technical and fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

Automatic Data Processing

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain basic indicators, Automatic Data unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with First and Automatic Data

The main advantage of trading using opposite First and Automatic Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First position performs unexpectedly, Automatic Data 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 offset losses from the drop in Automatic Data's long position.

The idea behind First Class Metals and Automatic Data Processing pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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Note that this page's information should be used as a complementary analysis 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.