Correlation Between Automatic Data and Steel Dynamics

Can any of the company-specific risk be diversified away by investing in both Automatic Data and Steel Dynamics 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 Automatic Data and Steel Dynamics into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Automatic Data Processing and Steel Dynamics, you can compare the effects of market volatilities on Automatic Data and Steel Dynamics 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 Automatic Data with a short position of Steel Dynamics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and Steel Dynamics.

Diversification Opportunities for Automatic Data and Steel Dynamics

0.79

Correlation Coefficient

Automatic Data  Steel Dynamics

Poor diversification

The 3 months correlation between Automatic and Steel is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and Steel Dynamics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steel Dynamics and Automatic Data 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 Automatic Data Processing are associated (or correlated) with Steel Dynamics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steel Dynamics has no effect on the direction of Automatic Data i.e., Automatic Data and Steel Dynamics go up and down completely randomly.

Pair Corralation between Automatic Data and Steel Dynamics

Assuming the 90 days horizon Automatic Data is expected to generate 134.3 times less return on investment than Steel Dynamics. But when comparing it to its historical volatility, Automatic Data Processing is 1.54 times less risky than Steel Dynamics. It trades about 0.0 of its potential returns per unit of risk. Steel Dynamics is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  10,933  in Steel Dynamics on December 30, 2024 and sell it today you would earn a total of  805.00  from holding Steel Dynamics or generate 7.36% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Automatic Data Processing  vs.  Steel Dynamics

Automatic Data Processing

Risk-Adjusted Performance

Very Weak

Over the last 90 days Automatic Data Processing has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Automatic Data is not utilizing all of its potentials. The newest stock price disturbance, may contribute to mid-run losses for the stockholders.

Steel Dynamics

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Steel Dynamics are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, Steel Dynamics may actually be approaching a critical reversion point that can send shares even higher in April 2025.

Pair Trading with Automatic Data and Steel Dynamics

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

The idea behind Automatic Data Processing and Steel Dynamics 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 Global Correlations module to find global opportunities by holding instruments from different markets.